Method for constructing diode circuit controller, circuit control method, device and equipment

Abstract

The present invention discloses a method for constructing a diode circuit controller, a circuit control method, a device, and a device, belonging to the technical field of automatic control. The method for constructing the controller includes: establishing a partially unknown fuzzy Markov switching singular perturbation model of the diode circuit; establishing an event trigger mechanism for collecting the voltage and current of the diode circuit; selecting a fuzzy control law for the diode circuit under the conditions of singular perturbation and the event trigger mechanism; and establishing a feedback control system for the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model. The technical solution disclosed in an embodiment of the present invention can effectively reduce the influence of singular perturbation parameters and communication burden on the multi-modal tunnel diode circuit system, solve the fuzzy control problem of the multi-modal tunnel diode circuit system, and improve the performance of the multi-modal tunnel diode circuit system.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control, and particularly relates to a method for constructing a diode circuit controller, a circuit control method, a device and a device. Background Art

[0002] The multimode tunnel diode is a crystal diode with the tunnel effect current as the main current component. Due to its characteristics such as high frequency, low cost, fast response to input, high reliability, low power consumption, and low noise, it is widely used in microwave mixing, low-noise amplification, oscillation and other design circuits, and is also applicable to satellite microwave equipment. However, due to the presence of inductance and capacitance in the tunnel diode and a small time constant, when dynamically modeling the multimode tunnel diode circuit system, the model has a high order, is prone to random mutations or ill-conditioned numerical characteristics, and further causes the tunnel diode circuit system to be unstable within a finite time. Summary of the Invention

[0003] In order to solve at least one technical problem existing in the above-mentioned prior art, an embodiment of the present invention provides a method for constructing a diode circuit controller, a circuit control method, a device and a device. The technical solution is as follows:

[0004] In a first aspect, a method for constructing a diode circuit controller is provided, and the method includes:

[0005] Establish a partially unknown fuzzy Markov switching singular perturbation model of the transfer probability of the diode circuit;

[0006] Establish an event trigger mechanism for collecting the voltage and current of the diode circuit;

[0007] Select a fuzzy control law for the diode circuit under the conditions of singular perturbation and the event trigger mechanism;

[0008] Based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model of the transfer probability, establish a feedback control system for the diode circuit.

[0009] Further, the establishment of the partially unknown fuzzy Markov switching singular perturbation model of the transfer probability of the diode circuit includes:

[0010] Obtain the model of the diode circuit;

[0011] According to the fuzzy rules and the model of the diode circuit, establish the partially unknown fuzzy Markov switching singular perturbation model of the transfer probability:

[0012]

[0013] Where ρ(k)=[ρ 1(k)ρ 2 (k)...ρ g (k)] T ,h μ (ρ(k)) is the membership function, in the form of:

[0014]

[0015] where Λ μν (ρ ν (k)) is the membership degree of ρ ν (k) in Λ μν and

[0016] Furthermore, the establishment of the event-triggered mechanism for collecting the voltage and current of the diode circuit includes:

[0017] Determine the trigger threshold for which the diode circuit system conforms to the event-triggered mechanism;

[0018] Based on the current state variable value of the diode circuit system, the state variable value when the diode circuit satisfies the event-triggered mechanism, and the trigger threshold, establish the trigger mechanism model:

[0019]

[0020] where e(k) = z(k) - z(k t ), representing the error between the current state variable value z(k) and the state variable value z(k t ) at the time of triggering, Φ α is the mode-related weighted matrix, is the trigger threshold.

[0021] Furthermore, the selection of the fuzzy control law for the diode circuit under the conditions of singular perturbation and the event-triggered mechanism includes:

[0022] Based on the condition that both the singular perturbation of the diode current and the event-triggered mechanism exist, select the fuzzy control law:

[0023]

[0024] where Γ μ,α is the controller gain.

[0025] Furthermore, the establishment of the feedback control system of the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model includes:

[0026] Based on the fuzzy control law, the feedback control system is derived from the partially unknown transition probability fuzzy Markov switching singular perturbation model.

[0027]

[0028]

[0029] Furthermore, the method further includes:

[0030] Under the condition that the singular perturbation parameter and the event-triggering mechanism exist simultaneously, a finite-time stability analysis is performed on the feedback control system.

[0031] In a second aspect, a diode circuit control method is provided, including:

[0032] Using the closed-loop system of the partially unknown transition probability fuzzy Markov switching singular perturbation model according to any one of the first aspects to control the diode circuit.

[0033] In a third aspect, a tunnel diode circuit controller construction device is provided, and the device includes:

[0034] A model construction module for establishing a partially unknown transition probability fuzzy Markov switching singular perturbation model for the diode circuit;

[0035] An event-triggering mechanism establishment module for establishing an event-triggering mechanism for collecting the voltage and current of the diode circuit;

[0036] A module control law acquisition module for selecting a fuzzy control law for the diode circuit under the conditions of conforming to singular perturbation and the event-triggering mechanism;

[0037] A control system construction module for establishing a feedback control system for the diode circuit based on the fuzzy control law and the partially unknown transition probability fuzzy Markov switching singular perturbation model.

[0038] In a fourth aspect, an electronic device is provided, including:

[0039] One or more processors; and

[0040] A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, the method according to any one of the first aspects is executed.

[0041] In a fifth aspect, a computer-readable medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method according to any one of the first aspects is implemented.

[0042] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention are as follows:

[0043] The technical solutions disclosed in the embodiments of the present invention can effectively reduce the influence of singular perturbation parameters and communication burden on the multi-modal tunnel diode circuit system, solve the fuzzy control problem of the multi-modal tunnel diode circuit system, and improve the performance of the multi-modal tunnel diode circuit system. Brief Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a flowchart of the method for constructing a diode circuit controller provided by the embodiments of the present invention;

[0046] Figure 2 It is a schematic diagram of the diode circuit structure;

[0047] Figure 3 It is an analysis diagram of the number of event triggers at the moment when the diode circuit is released;

[0048] Figure 4 It is an analysis diagram of the control input of the tunnel diode system;

[0049] Figure 5 It is for the trajectory z T (k)Rz(k) analysis diagram of the change law;

[0050] Figure 6 It is a schematic diagram of the structure of the device for constructing a diode circuit controller provided by the embodiments of the present invention;

[0051] Figure 7 It is a schematic diagram of the structure of an electronic device provided by the embodiments of the present invention. Detailed Embodiments

[0052] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0053] As described in the background art, the multi-modal tunnel diode circuit is prone to random mutations or pathological numerical characteristics, resulting in instability of the tunnel diode circuit system. Embodiments of the present invention are to solve the problems existing in the prior art, and provide a method for constructing a diode circuit controller, a circuit control method, a device, a device and a computer-readable medium. The specific technical solutions are as follows:

[0054] As Figure 1 shown, a method for constructing a diode circuit controller includes:

[0055] S1. Establish a partially unknown fuzzy Markov switching singular perturbation model of the transfer probability of the diode circuit.

[0056] S2. Establish an event-triggering mechanism for collecting the voltage and current of the diode circuit.

[0057] S3. Select a fuzzy control law for the diode circuit under the conditions of singular perturbation and event-triggering mechanism.

[0058] S4. Based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model of the transfer probability, establish a feedback control system for the diode circuit.

[0059] Above, the Markov switching system is described by a set of classical differential (or difference) equations and a stochastic Markov process (or Markov chain). The transfer probability during the switching process of the diode circuit in different modes plays an important role in characterizing the system behavior to a large extent. The T-S fuzzy strategy, as an effective tool for dealing with nonlinear systems, applies the properties of fuzzy membership functions. Based on the T-S fuzzy strategy, the nonlinear singular perturbation is modeled as a set of linear subsystems with membership functions. More importantly, the T-S fuzzy model can better handle the nonlinear singular perturbation Markov switching system. The event-triggering mechanism, as an effective data transmission method, can determine when to update the transmission signal by using the triggering condition to reduce the transmission frequency. In fact, the event-triggering mechanism can generate a longer task cycle than the time-triggering mechanism, thereby reducing the transmission time of the sampling signal, which belongs to an on-demand transmission strategy. In order to overcome unnecessary energy consumption, the designed event-triggering controller or filter can effectively solve the problem of channel congestion and improve communication efficiency. For the diode circuit, the signals that need to be updated mainly include: voltage and current.

[0060] It should be noted that the specific execution order of steps S1, S2, and S3 is not limited to the step numbers, and the three can be executed simultaneously or in any order.

[0061] In one embodiment, step S1 includes:

[0062] S11. Obtain the model of the diode circuit;

[0063] S12. Establish the partially unknown transition probability fuzzy Markov switching singular perturbation model according to the fuzzy rules and the model of the diode circuit.

[0064] Specifically, step S12 includes:

[0065] Consider a multimodal tunnel diode circuit system with singular perturbation and event-triggering mechanism, and establish a partially unknown transition probability fuzzy Markov switching singular perturbation system. The fuzzy rule i is as follows:

[0066] If ρ 1 (k) is Λ μ1 , ρ 2 (k) is Λ μ2 ,..., ρ g (k) is Λ μg , then:

[0067] z(k + 1) = E ε A μ (r k )z(k) + E ε B μ (r k )u(k),

[0068] where A μ (r k ), B μ (r k ) represent constant matrices of appropriate dimensions;

[0069] Λ μν (μ = 1, 2,..., r, ν = 1, 2,..., g) are fuzzy sets;

[0070] ρ 1 (k), ρ 2 (k),..., ρ r (k) are premise variables;

[0071] where is the slow state variable, is the fast state variable, k represents the sampling times, k = 1, 2, 3... n;

[0072] represents the control input;

[0073] E ε is the singular perturbation matrix, where ε is the singular perturbation parameter;

[0074] {r k , k ≥ 0} represents at a Markov chain taking values in, and the transition probabilities satisfy:

[0075]

[0076] where π αβ ≥ 0 and for any

[0077] Considering that part of the transition probabilities is unknown, when the system has three operating modes, the transition probability matrix can be expressed as:

[0078]

[0079] where? represents the unknown transition probability;

[0080] Define where: is known}, is unknown}.

[0081] Fuzzily mix the diode circuit model according to the fuzzy rules, and derive the following overall fuzzy Markov switching singular perturbation model:

[0082]

[0083] where where represents the voltage, represents the current, k represents the sampling times, k = 1, 2, 3... n;

[0084] represents the control voltage;

[0085] ρ(k) = [ρ 1 (k) ρ 2 (k)... ρ g (k)] T , h μ (ρ(k)) is the membership function, in the form of:

[0086]

[0087] where Λ μν (ρ ν (k)) is the membership of ρ ν (k) in Λ μν , and

[0088] Next, take the Figure 2 shown multimodal tunnel diode circuit as an example to illustrate the methods in steps S11 and S12 above:

[0089] The model of the multimodal tunnel diode circuit is as follows:

[0090]

[0091] where i D (t) and V D (t) represent the diode current and diode voltage respectively.

[0092] Let z 1 (t) = V C (t), z 2 (t) = i L (t), then

[0093]

[0094] where ε L and C represent the inductance and capacitance respectively, R 1 , R 2 and R 3 are resistors, V C (t), i C (t), V L (t) and i L (t) represent the capacitance voltage, capacitance current, inductance voltage and inductance current respectively, u(t) is the input voltage, and in Figure 2 , V(t) follows a Markov chain.

[0095] Select R 1 = 90 Ω, R 2 = 120 Ω, R 3 = 150 Ω, C = 0.1 F, and ε L = 10 -3 H, we can obtain:

[0096]

[0097] where ε r = 10 -4 is the singular perturbation parameter.

[0098] Therefore, based on fuzzy model matching, the state space description of the multimodal tunnel diode circuit system is as follows:

[0099] Considering z(t) = [z 1 (t) z 2 (t)] T and assuming ‖z(t)‖ ≤ 3. Furthermore, we obtain:

[0100]

[0101] where

[0102]

[0103]

[0104] For the sampling time T s = 0.2 s, a discrete-time system is:

[0105]

[0106] where

[0107]

[0108] The transition probability matrix is selected as:

[0109]

[0110] In one embodiment, step S2 includes:

[0111] Determine the trigger threshold for the diode circuit system to meet the event-triggering mechanism;

[0112] Based on the current state variable value of the diode circuit system, the state variable value when the diode circuit meets the event-triggering mechanism, and the trigger threshold, establish an event-triggering mechanism model:

[0113]

[0114] where e(k) = z(k) - z(k t ), representing the error between the current state variable z(k) and the state variable z(k t ) at the time of triggering. Φ α is a mode-related weighting matrix, is the trigger threshold.

[0115] In one embodiment, step S3 includes:

[0116] Based on the condition that both the diode current singular perturbation and the event-triggering mechanism exist, select a fuzzy control law:

[0117]

[0118] where Γ μ,α is the controller gain.

[0119] In one embodiment, step S4 includes:

[0120] Based on the fuzzy control law, derive the feedback control system of the diode circuit based on the transfer probability partially unknown fuzzy Markov switching singular perturbation model:

[0121]

[0122] As described above, taking Figure 2 the diode circuit in as an example: The conduction and cutoff of the diode are controlled by voltage. The positive electrode of the diode (VD) in the circuit is connected to the positive electrode of the DC voltage through a resistor and a switch. This DC voltage is the control voltage of the diode. If there is a control voltage input in the diode current, the diode conducts; if there is no control voltage input, the diode cuts off. After the diode conducts, the larger the forward current, the smaller the forward resistance, and the smaller the forward resistance, the larger the forward current. Therefore, the feedback control system provided by the embodiments of the present invention can be used to calculate the control voltage currently input to the diode circuit according to the current and voltage data of the diode circuit collected at the current time. According to the currently input control voltage and the current and voltage of the current circuit, the current and voltage of the next time can be calculated. Thus, the input of the control voltage can be regulated according to the current and voltage of the next time, so that the diode circuit can operate stably.

[0123] In one embodiment, the method disclosed by the present invention further includes:

[0124] Under the condition that the singular perturbation parameter and the event-triggering mechanism exist simultaneously, perform a finite-time stability analysis on the feedback control system.

[0125] As described above, the stability analysis disclosed by the embodiments of the present invention mainly refers to whether the state trajectory of the diode current always remains within a pre-given limit within a finite time interval.

[0126] The stability analysis includes:

[0127] There exist symmetric positive definite matrices and matrix H α and positive scalar satisfying the following linear matrix inequalities:

[0128]

[0129] Case 1:

[0130]

[0131] Case 2:

[0132]

[0133] where

[0134]

[0135]

[0136] If the given parameters are \(R = diag\{1, 1, 1\}\) and \(o = 1.01\), \(\varepsilon\) 1 \(=\) it can be solved that:

[0137] \(\Gamma\) 11 \(=[-4.5581 - 5.0642], \Gamma\) 12 \(=[-5.5276 - 4.6061]\), \(\Gamma\) 13 \(=[-7.4433 - 4.9621]\),

[0138] \(\Gamma\) 21 \(=[-6.9371 - 7.7074], \Gamma\) 22 \(=[-9.0683 - 7.5566]\), \(\Gamma\) 23 \(=[-10.6474 - 7.0979]\).

[0139] Perform a simulation experiment on the method disclosed in the embodiments of the present invention. Figure 3 represents the number of event triggers at the moment when the diode circuit is released. As can be seen from the figure, at the moment when the diode circuit is released, it shows that there are some moments without triggering, effectively reducing the communication burden. Figure 4 represents the control input of the tunnel diode system in the simulation experiment. Figure 5 Describes the variation law of the trajectory \(z\) T (k) \(Rz(k)\). Within a finite time, the system state does not exceed the given upper bound, thus meeting the requirements of finite-time stability. According to Figures 3 - 5 it can be known that the method of the present invention can effectively reduce the influence of singular perturbation parameters and communication burden on the multi-modal tunnel diode circuit system, solve the fuzzy control problem of the multi-modal tunnel diode circuit system, and improve the performance of the multi-modal tunnel diode circuit system.

[0140] Based on the method for constructing a diode circuit controller disclosed in the above embodiments of the present invention, as Figure 6 shown, the embodiments of the present invention also provide a device for constructing a diode circuit controller, including:

[0141] A model construction module 601, configured to establish a transfer probability partially unknown fuzzy Markov switching singular perturbation model for the diode circuit;

[0142] A trigger mechanism establishment module 602, configured to establish an event trigger mechanism for collecting the voltage and current of the diode circuit;

[0143] The module control law acquisition module 603 is configured to select the fuzzy control law of the diode circuit under the conditions of singular perturbation and event-triggered mechanism;

[0144] The control system construction module 604 is configured to establish a feedback control system of the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model of the transition probability.

[0145] The specific operation method of the above diode circuit controller construction device is the same as the diode circuit controller construction method disclosed in the embodiments of the present invention, and will not be elaborated here.

[0146] In addition, an embodiment of the present invention also discloses a diode circuit control method, including:

[0147] Controlling the diode circuit by using the diode circuit controller described in any embodiment of the present invention.

[0148] In addition, an embodiment of the present invention also provides an electronic device, including:

[0149] One or more processors; and

[0150] A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, the diode circuit controller construction method disclosed in the above embodiments is executed.

[0151] Wherein, Figure 7 An exemplary system architecture of the electronic device is shown, which may specifically include a processor 710, a video display adapter 711, a disk drive 712, an input / output interface 713, a network interface 714, and a memory 720. The above processor 710, video display adapter 711, disk drive 712, input / output interface 713, network interface 714, and the memory 720 can be communicatively connected through a communication bus 730.

[0152] Wherein, the processor 710 can be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided in the present application.

[0153] The memory 720 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, etc. The memory 720 may store an operating system 721 for controlling the operation of the electronic device, and a Basic Input / Output System (BIOS) for controlling the low-level operations of the electronic device. In addition, a web browser 723, a data storage management system 724, a device identification information processing system 725, etc. may also be stored. The above-mentioned device identification information processing system 725 may be the application program that specifically implements the operations of the foregoing steps in the embodiments of the present application. In short, when implementing the technical solution provided by the present application through software or firmware, the relevant program codes are stored in the memory 720 and are called and executed by the processor 710.

[0154] The input / output interface 713 is used to connect to an input / output module to implement information input and output. The input / output module may be configured as a component in the device (not shown in the figure) or may be externally connected to the device to provide corresponding functions. Among them, the input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0155] The network interface 714 is used to connect to a communication module (not shown in the figure) to implement communication interaction between this device and other devices. Among them, the communication module may implement communication in a wired manner (such as USB, network cable, etc.) or may implement communication in a wireless manner (such as mobile network, WIFI, Bluetooth, etc.).

[0156] The bus 730 includes a path for transmitting information between various components of the device (such as the processor 710, the video display adapter 711, the disk drive 712, the input / output interface 713, the network interface 714, and the memory 720).

[0157] In addition, the electronic device may also obtain information on specific collection conditions from the virtual resource object collection condition information database for conditional judgment, etc.

[0158] It should be noted that although only the processor 710, the video display adapter 711, the disk drive 712, the input / output interface 713, the network interface 714, the memory 720, the bus 730, etc. are shown in the above device, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary for implementing the solution of the present application and does not necessarily include all the components shown in the figure.

[0159] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes program code for performing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a memory, or installed from a ROM. When the computer program is executed by a processor, the above functions defined in the method of the embodiment of the present application are performed.

[0160] It should be noted that the computer-readable medium of the embodiment of the present application can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the embodiment of the present application, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device. In the embodiment of the present application, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable signal medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0161] The above computer-readable medium may be included in the above server; or it may exist independently without being assembled into the server. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the server, the server is caused to: obtain the frame rate of an application on the terminal in response to detecting that the peripheral mode of the terminal is not activated; determine whether the user is obtaining the screen information of the terminal when the frame rate meets the screen-off condition; and control the screen to enter an immediate dimming mode in response to a determination result that the user is not obtaining the screen information of the terminal.

[0162] Computer program code for performing the operations of the embodiments of the present application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0163] Each embodiment in this specification is described in a progressive manner. For parts that are the same or similar among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for a system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For related parts, reference can be made to the partial description of the method embodiment. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0164] The above has introduced the technical solution provided by the present application in detail. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

[0165] Any combination of the above all optional technical solutions can form an optional embodiment of the present invention, which will not be elaborated one by one here.

[0166] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for constructing a diode circuit controller, characterized in that, comprising: establishing a partially unknown fuzzy Markov switching singular perturbation model of the transfer probability of the diode circuit; obtaining the model of the diode circuit; establishing the partially unknown fuzzy Markov switching singular perturbation model according to the fuzzy rules and the model of the diode circuit: where k represents the number of samplings, z(k) represents the current state variable value, E ε is a singular perturbation matrix, ε represents the singular perturbation parameter, u(k) represents the control voltage, ρ(k) = [ρ 1 (k) ρ 2 (k) ... ρ g (k)] T , h μ (ρ(k)) is a membership function, in the form of: where Λ μν (ρ ν (k)) is the membership degree of ρ ν (k) in Λ μν , Λ μν represents a fuzzy set, and establishing an event-triggered mechanism for collecting the voltage and current of the diode circuit; selecting a fuzzy control law for the diode circuit under the conditions of singular perturbation and the event-triggered mechanism; establishing a feedback control system of the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model.

2. The method according to claim 1, characterized in that, the establishing an event-triggered mechanism for collecting the voltage and current of the diode circuit comprises: determining a trigger threshold for the diode circuit system to conform to the event-triggered mechanism; establishing the trigger mechanism model according to the current state variable value of the diode circuit system, the state variable value when the diode circuit conforms to the event-triggered mechanism, and the trigger threshold: where \(e(k)=z(k)-z(k t ))\) represents the error between the current state variable value \(z(k)\) and the state variable value \(z(k t ))\) at the time of triggering, \(\varPhi α \) is a mode-related weighting matrix, is the triggering threshold.

3. The method according to claim 1, characterized in that, the selecting a fuzzy control law for the diode circuit under the conditions of singular perturbation and the event-triggered mechanism comprises: selecting the fuzzy control law based on the condition that both the singular perturbation of the diode current and the event-triggered mechanism exist; where Γ μ,α is the controller gain.

4. The method according to claim 3, characterized in that, the establishing a feedback control system of the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model comprises: deriving the feedback control system based on the partially unknown fuzzy Markov switching singular perturbation model according to the fuzzy control law: where e(k) = z(k) - z(k t ) represents the error between the current state variable value z(k) and the state variable value z(k t ) at the time of triggering.

5. The method according to any one of claims 1-4, characterized in that, the method further comprises: conducting a finite-time stability analysis of the feedback control system under the condition that both the singular perturbation parameter and the event-triggered mechanism exist.

6. A method for controlling a diode circuit, characterized in that, comprising: using the diode circuit controller according to any one of claims 1-5 to control the input voltage of the diode circuit.

7. An apparatus for constructing a diode circuit controller, characterized in that, comprising: a model construction module for establishing a partially unknown fuzzy Markov switching singular perturbation model for the diode circuit; obtaining the model of the diode circuit; establishing the partially unknown fuzzy Markov switching singular perturbation model according to the fuzzy rules and the model of the diode circuit: Among them, k represents the number of sampling times, z(k) represents the current state variable value, E ε is a singular perturbation matrix, ε represents the singular perturbation parameter, u(k) represents the control voltage, ρ(k) = [ρ 1 (k) ρ 2 (k) ... ρ g (k)] T , h μ (ρ(k)) is the membership function, in the form of: where Λ μν (ρ ν (k)) is the membership degree of ρ ν (k) in Λ μν , Λ μν represents a fuzzy set, and a trigger mechanism establishment module for establishing an event-triggered mechanism for collecting the voltage and current of the diode circuit; a module control law acquisition module for selecting a fuzzy control law for the diode circuit under the conditions of singular perturbation and the event-triggered mechanism; A control system construction module, configured to establish a feedback control system for the diode circuit based on the fuzzy control law and the partially unknown fuzzy Markov switching singular perturbation model with transition probability.

8. An electronic device, characterized in that, it comprises: one or more processors; and a memory associated with the one or more processors, the memory being configured to store program instructions, and when the program instructions are read and executed by the one or more processors, the method according to any one of claims 1-5 is executed.

9. A computer-readable medium, on which a computer program is stored, wherein, when the program is executed by a processor, the method according to any one of claims 1-5 is implemented.

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