82 results about "Consistency control" patented technology

The invention provides a multi-cavity mold PET bottle preform production consistency optimization control method, which comprises the following steps of: arranging high-response infrared thermal imaging and piezoelectric pressure sensors to realize high-precision real-time synchronous acquisition of temperature and pressure data of each cavity, and establishing a cavity exclusive thermal history fingerprint model by using time sequence feature extraction and a deep neural network; combining the thermal historical fingerprints and the real-time filling data, dynamically calculating the thermal interference intensity between the cavities, and generating a multivariable coupling relation matrix; decomposing an overall consistency target by using principal component analysis and a multi-target optimization algorithm, generating a personalized compensation instruction adapted to thermal inertia and sensitivity of each cavity, and realizing multivariable decoupling cooperative control through adaptive PID parameter adjustment and virtual decoupling variables; wall thickness detection quality feedback is introduced, a model closed-loop calibration mechanism is constructed, adaptive iterative optimization of a control strategy and forming quality is guaranteed, and the consistency of multi-cavity injection molding products and the robustness of the system are remarkably improved.

The invention discloses a two-way output consistency control method for a heterogeneous multi-agent system, and the method comprises the following steps: 1, constructing state and output equations of a follower agent and a leader agent, calculating an output tracking error ei (k), and constructing an augmented system state space model and a linear control input ui (k); 2, designing a distributed bipartite observer for each follower agent to enable an output tracking error ei (k) to be zero all the time, and replacing a leader agent state of the augmented system state space model with a state of the distributed bipartite observer; 3, defining a Q function, solving the Q function to obtain an optimal control strategy, and introducing a Q-learning algorithm to obtain an optimal control gain only depending on an input state of the augmented system state space model; 4, introducing a fuzzy logic system approximation Q function to enable a matrix phi i to meet a full-rank condition, and updating a fuzzy weight by minimizing a Bellman residual error to obtain an optimal control gain of the input state of the augmented system state space model; and updating the control gain by adopting a gradient descent method, and calculating linear control input ui (k) by utilizing the updated control gain.

Disclosed in the present invention are a virtual impedance angle adaptive control method and system for parallel operation of converters, relating to the technical field of converter system control, and comprising: by means of a consistency control algorithm, observing an active average value and a reactive average value; by means of the active average value and the reactive average value, obtaining a trigonometric function value corresponding to the virtual impedance angle; obtaining a virtual resistance and a virtual negative reactance corresponding to each converter; using a dynamically changing virtual impedance angle to perform power coordinate transformation on the active power and reactive power of the converter in order to obtain generalised active power and generalised reactive power; and controlling the generalised active power and generalised reactive power. The present invention is applicable to a scenario of parallel operation of converters, such as a microgrid; by dynamically adjusting the virtual impedance angle in real time, the problem of voltage deviation after the introduction of virtual impedance can be significantly improved, and the voltage quality can be improved.

The invention belongs to the field of panoramic stitching digital image processing technologies and camera ISP technologies, and particularly relates to a chromatic aberration consistency control method based on front and rear end collaboration. The method comprises the following steps: 1, acquiring statistical information of multiple cameras; step 2, acquiring a current camera control parameter by adopting a front-end chromatic aberration consistency adjustment algorithm; 3, the current camera control parameters are issued to all the cameras, and all the cameras complete exposure imaging according to the current camera control parameters; step 4, acquiring an overlapped part image in each path of camera imaging; step 5, calculating a statistical histogram cumulative distribution function of overlapped part images in each path of camera imaging; step 6, calculating a histogram matching function according to the cumulative distribution function of the overlapped part images in each path of overlapped camera imaging, so that the histograms of the overlapped parts of the two images tend to be consistent; and step 7, according to the obtained histogram matching function, transforming the brightness channel of each pixel in the corresponding camera imaging to complete color difference consistency correction.

This invention discloses a distributed consistency control method and device for primary-distribution-microgrid collaborative energy storage, relating to the field of power system energy storage control technology. The method includes the following steps: acquiring the SOC deviation and voltage deviation of each energy storage node; converting the voltage deviation into a dynamic feedback gain through nonlinear mapping; performing asymmetric adaptive correction of the SOC deviation using the difference in dynamic feedback gains between adjacent nodes; generating a local active power regulation quantity based on the corrected SOC deviation and upper-level scheduling instructions; controlling the local energy storage converter to perform power regulation through the active power regulation quantity, updating the SOC and voltage of the local node, and using the updated SOC and voltage as the initial values ​​for the next control cycle. This invention achieves spontaneous transfer of physical stress in a microgrid group and self-organized survival of the system without increasing the communication bandwidth of the centralized controller.

The invention discloses an MASs consistency logic security control method under hybrid attacks, and relates to the technical field of multi-agent system security control, the method comprises the following steps: firstly initializing MASs system parameters, and realizing data confidentiality protection and information tampering detection by an LSPM through a two-layer key mechanism of symmetric key encryption and asymmetric key signature; designing a segmented consistency controller for a mixed scene of eavesdropping, information tampering containing content and identity source tampering and DoS attack, and deriving a linear matrix inequality LMIs through a time-varying Lyapunov function LKFs to solve controller parameters; and finally, continuously executing data security transmission and state adjustment to ensure that the MASs realizes leader-follower LF consistency. According to the method, when the MASs face mixed network attacks such as eavesdropping, tampering and denial of service, a comprehensive guarantee with confidentiality, integrity and authenticity is provided, and the reliability that the system finally realizes a consistent control target is ensured.

The invention discloses a clustering consistency control method, system and equipment for multi-agent system safety. The method comprises the following steps: constructing a multi-agent system clustering network and a dynamic model based on external disturbance factors; obtaining communication topology between the intelligent agents based on the clustering network; the method comprises the following steps of: constructing an adaptive event triggering strategy with a memory characteristic on a clustering network, converting a system clustering consistency problem into a convergence analysis problem of an error system, then obtaining sufficient conditions for a distributed controller to meet anti-interference performance and mean square index stability through a Lyapunov-Krasovskii functional, and finally decoupling nonlinear factors to obtain an LMI condition; and solving controller gain and specified related parameters to realize security clustering consistency control of the multi-agent system in a communication resource limited and spoofing attack environment. According to the method, the consistent achievement of multi-agent system clustering and safe and stable operation under spoofing attack and disturbance network communication can be ensured.

This invention relates to the field of cooperative control technology, specifically to an adaptive event-triggered fixed-time consistency control method for multi-agent systems, comprising the following steps: S1, constructing a mathematical model of a nonlinear high-order multi-agent system with uncertain dynamics; S2, constructing a Lyapunov function containing a lower bound of uncertain parameters based on coordinate transformation; S3, designing an adaptive event-triggered controller with a positive bounded function using a backstepping control method, including a virtual controller, an adaptive law, and an event triggering mechanism; S4, proving through stability analysis that a high-order nonlinear multi-agent system with uncertain dynamics can achieve consistent output at a fixed time and avoid Zeno behavior. This invention's adaptive event-triggered fixed-time consistency control method for multi-agent systems solves the problem of consistent output at a fixed time for a class of high-order nonlinear multi-agent systems and extends existing results on consistent output at a fixed time.

The DoS attack strategy making method based on the multilayer cut points is provided for consistency control of the multi-agent system, and the state consistency of the multi-agent system is effectively influenced under the condition that it is guaranteed that the attacker consumes relatively little energy. The method comprises the steps that a multi-agent system consistency model and a DoS attack model are established, an objective function is obtained by taking energy consumption of an attacker and a system consistency error as two indexes, multi-layer cut points are used for replacing an attack action space to improve the optimization efficiency of the objective function, and an attack strategy is obtained by optimizing the objective function. The attack research essence is to guarantee the improvement of the system security performance, and the method provided by the invention can be used as a link for testing the system security to help discover the defects in the aspect of system defense.

The invention belongs to the technical field of aviation machining, and discloses a numerical control machining method for a magnetically soft alloy large-length-diameter-ratio thin-wall rotary workpiece, which comprises the following steps of: clamping the outer circle of the workpiece, penetrating a mandrel through an inner hole, and carrying out rough machining and finish machining on the outer circle at one end of the workpiece; turning around, clamping the outer circle of the workpiece, enabling an inner hole to penetrate through a mandrel, and performing rough machining and finish machining on the outer circle of the other end of the workpiece; the outer circle of the workpiece is clamped, the end face of the workpiece is flattened, an inner hole is bored, and back gouging is conducted on the root of the hole; and turning around, clamping the outer circle of the workpiece, flattening the end face of the workpiece, and turning and adjusting a threaded hole. The problem that in the existing thin-wall part machining process, wall thickness uniformity and consistency control are poor is solved, the machining efficiency is high, and the machining quality is stable and reliable.

The invention discloses a self-adjusting predetermined performance consistency control method for a multi-agent system, and the method comprises the steps: building a mathematical model of the multi-agent system, and defining a synchronization error of a follower agent; describing an information interaction relationship among the agents in the multi-agent system based on a graph theory; defining a performance constraint of a synchronization error and a self-adjusting performance boundary function, and introducing a boundary adjusting mechanism with a safety interval detection function to dynamically adapt to disturbance; mapping the synchronization error constrained by the predetermined performance boundary into an unconstrained variable through error conversion and a barrier function; and on the basis of a backstepping method, designing a virtual controller of each order, a final actual controller and an adaptive rate, and realizing cooperative tracking control of the multi-agent system. According to the method, the problems of initial condition feasibility, fixed performance boundary rigid constraint and symmetric performance limitation can be solved, burst interference can be dealt with through a self-regulation mechanism while overshoot, convergence time and steady-state precision are ensured, and the robustness of the system is remarkably improved.

The present disclosure relates to a request-level consistency control method and system for dynamic configuration hot update. The method comprises: organizing configuration content into multiple versioned configuration snapshots, establishing a corresponding reference count for each versioned configuration snapshot, and setting a candidate version; enhancing a configuration reading path in a service node by plugging so as to be able to perform a configuration reading operation according to a bound version; in response to receiving a service request, creating an activation token for the service request, obtaining a current candidate version as the bound version, writing the bound version into the activation token, and increasing the reference count of the bound version; during processing of the service request, when configuration needs to be read, reading a configuration value from a corresponding versioned configuration snapshot according to the bound version in the activation token; and in response to the processing of the service request being completed, decreasing the reference count of the bound version by one.

The application discloses a film and television role playing method based on emotional retrieval and role consistency control, and relates to the technical field of artificial intelligence and natural language processing, which aims at the problems of role behavior deviating from the setting, lack of emotional response resonance and inconsistent retrieval content style in the prior art, constructs a role memory knowledge graph and calculates semantic and emotional vectors, carries out emotional retrieval according to user query, modifies the preliminary response after atomic fact analysis and consistency verification, and finally outputs a natural language reply conforming to the role setting and having emotional resonance, and is mainly used for improving the reality and immersion of film and television role interaction.

The application provides a kind of unmanned ship consistency control method and equipment, it is related to unmanned system cooperative control technical field.The method comprises: according to the real-time state of the unmanned ship and the state of the unmanned ship at last event trigger time, construct real-time local measurement error;According to the state of the unmanned ship at last event trigger time and the state of all adjacent unmanned ships of the unmanned ship, construct joint error;Based on the real-time local measurement error and joint error of each unmanned ship, judge whether event trigger condition is satisfied, when any unmanned ship satisfies event trigger condition, obtain and according to the state of the unmanned ship at event trigger condition satisfying time, the state of the adjacent unmanned ship of the unmanned ship and unmanned ship controller gain matrix, update the controller output of the unmanned ship and the adjacent unmanned ship of the unmanned ship, carry out consistency control to each unmanned ship according to controller output;The application can accurately and safely carry out multi-unmanned ship consistency control under the condition that system model is unknown.

With the development of generative artificial intelligence, users expect consistent personalized styles across multiple modal content generation. For example, users want their virtual avatars (images) to match the timbre and rhythm of synthesized speech, or they want robot movement styles to match user preferences. However, existing technologies suffer from modal isolation, lack of style storage, difficulties in cross-modal mapping, and style fragmentation across multiple scenarios. Therefore, a method is needed that can extract style features from arbitrary modal reference data provided by the user and maintain style consistency when generating arbitrary modal content, achieving personalized style control across modalities and scenarios. This application provides a style consistency control method, system, and computer-readable storage medium, aiming to enable the style features extracted by the user from arbitrary modal reference data to be stored and automatically applied when generating arbitrary modal content, ensuring visual and perceptual consistency across modalities and scenarios.

The invention discloses a medical insurance settlement transaction consistency control method and system, and the method comprises the steps: 101, obtaining a request related to medical insurance settlement from an interface of a specified business system, and after the request is obtained, inserting the request into a queue according to the sequence of the obtained request time, so as to obtain a time sequence queue; 102, judging whether a control lock is added to the request or not, if not, adding the control lock for the request, and calling a target service system interface so that the target service system interface can judge the service type indicated by the request; executing different settlement actions based on the service types; 103, if the control lock exists, detecting whether the time corresponding to the control lock is overtime or not from the current time sequence queue, and if the time is overtime, extracting the request corresponding to the control lock and executing the step 102; and if the time is not overtime, waiting is continued. Accumulated errors of the insured are prevented, the consistency of medical insurance settlement transactions is ensured, and the risk of medical insurance funds is avoided.

The invention discloses a multi-agent decision-making method, device and equipment, a multi-agent system and a storage medium. The method comprises the following steps: acquiring input information of a large model; querying a vector database according to the input information to obtain a historical context, and querying a production activity state database according to the input information to obtain industrial production state information with consistent time and space among the devices; integrating the input information, the historical context and the industrial production state information into cue words of the large model; determining consistency input information, wherein the consistency input information is obtained after a consistency management and control module examines time and space information in the cue word; and inputting the consistency input information into the large model to obtain decision information. According to the method, the decision is made based on the input information, the historical context and the time and space consistent industrial production state information among the devices, so that global consistency can be achieved during multi-agent decision making.

The application relates to the technical field of agent consistency control, and proposes a multi-agent attack-resistant consistency control method and system based on a double-layer observer, a double-layer observer framework combining an independent virtual twin layer and a network physical layer is constructed, a safe state benchmark is continuously generated by the independent virtual twin layer based on local output, instead of relying on neighbor node interaction information, the Byzantine behavior detection accuracy and the malicious node isolation reliability are improved, the resource consumption caused by continuous communication is reduced through an event-triggered updating mechanism of the network physical layer, and dynamic threshold detection, node classification, communication edge weight updating and cooperative topology reconstruction are combined, Byzantine nodes are isolated from the cooperative topology without pre-knowing the upper bound of the number of attack nodes and without relying on strong robustness topology conditions, so that the elastic consistency tracking of follower nodes to leader nodes is realized in an open network environment, and the system security, control performance and communication efficiency are considered.

This invention provides a finite-time consistency control method for multi-manipulator systems with output constraints. Addressing the cooperative control problem of multi-manipulator systems with model uncertainties, external disturbances, and output constraints, this invention proposes a finite-time convergent adaptive control strategy based on a backstepping design framework, combined with an event-triggered mechanism and a fuzzy logic system. First, a dynamic model of the follower manipulator is established, and the synchronization state error is defined. Second, a cascaded Lyapunov function is designed to handle the output constraints, and the fuzzy logic system is used to approximate the model uncertainties. Third, an event-triggered mechanism is constructed to save communication resources, and control and adaptive laws are designed based on finite-time convergence theory. Simulation results show that the proposed method enables multiple manipulators to achieve high-precision trajectory tracking consistency within a finite time, with the tracking error strictly controlled within a minimal range. The control voltage always meets the output constraints, improving system safety and engineering applicability.

The embodiment of the invention provides a cache consistency control method, a consistency directory and a processor chip, and the method comprises the steps: responding to an access request of a first core for a target cache line for the first time, and distributing a first directory entry in the consistency directory; the first directory entry is used for recording an address tag of the target cache line and a first sharer; the first sharer comprises the first core; in response to an access request of a second core to the target cache line, distributing a second directory entry in the consistency directory; the second directory entry is used for recording a target path pointer and a second sharer; the target path pointer points to the first directory entry; the second sharer comprises the second core; the number of the second cores is greater than or equal to 1. According to the embodiment of the invention, the cache line copy position under the many-core condition can be accurately represented while a relatively low width of a single directory entry is kept, so that the hardware overhead can be saved, and the system performance can be improved.

The application provides a consistency control method of a discrete time heterogeneous multi-agent system, aiming at the consistency control problem of a first-order and second-order heterogeneous multi-agent system with multiplicative noise, a distributed control protocol under a multiplicative noise environment is provided, under the distributed control protocol, the consistency problem of the heterogeneous multi-agent system is further converted into the stability problem of a discrete time random system with multiplicative noise. Then, a proper Lyapunov function is constructed, a stability analysis method of the equation is provided, for a leader-follower heterogeneous multi-agent system, sufficient conditions of mean square and almost sure consistency are obtained, proper control gains are solved, and the consistency control of the discrete time heterogeneous multi-agent system under the multiplicative noise environment is realized. The application has the beneficial effects that the influence of the measurement information on the multiplicative measurement noise is greatly reduced, and the consistency control of the heterogeneous multi-agent system is realized.

This invention discloses a distributed fast refresh method for configuration based on version numbers. The method includes: generating a logical version number corresponding to a configuration data change operation; broadcasting a change event containing a configuration identifier and a logical version number to each business node via a publish-subscribe pattern; upon receiving the change event, each business node compares the logical version number in the event with the version number corresponding to the configuration data stored locally, where the logical version number in the event is the event version number, and the version number corresponding to the configuration data stored locally is the local version number. If the event version number is greater than the local version number, the configuration entry corresponding to the configuration identifier in the local cache is invalidated; when a business thread requests the configuration corresponding to the configuration identifier, the latest configuration data is loaded from the data source, and the version number stored locally is updated to the event version number. By constructing a distributed consistency control model with a monotonically increasing version number, consistent and stable configuration refresh is achieved.

The application discloses a kind of multi-unmanned aerial vehicle formation event trigger consistency control methods based on neural tangent kernel, comprising the following steps: according to multi-unmanned aerial vehicle cooperative formation scene, linear system dynamics model is established to each unmanned aerial vehicle;According to the linear system dynamics model, introduce neural tangent kernel mechanism, extract the dynamic characteristics of multi-unmanned aerial vehicle;Based on the neural tangent kernel mechanism, design adaptive event trigger function, determine whether to trigger the information interaction and control update between unmanned aerial vehicles;According to the result of information interaction and control update, the parameter of adaptive event trigger mechanism is dynamically adjusted, and the allocation of communication resources between multi-unmanned aerial vehicles is optimized;According to the optimized parameter, adaptive event trigger mechanism is fused with multi-unmanned aerial vehicle consistency control protocol, and the formation control of multi-unmanned aerial vehicle is realized.The application can solve the key problems such as communication bottleneck and system robustness faced by multi-unmanned aerial vehicle formation control in actual industrial scene, and has significant technological progress.

The invention relates to the technical field of optical engineering and digital twinborn crossing, and particularly provides a parameter consistency control method for an actual optical system and a simulation model, which comprises the following steps of: establishing the simulation model of the actual optical system, and defining parameters of each element in the simulation model as variables, parameter values of all elements of the actual optical system are measured, assignment is conducted on the simulation model, simulation performance values of the simulation model and performance values of the actual optical system are obtained under the same condition, a performance consistency error report is generated through comparison, elements with potential errors are determined according to the performance consistency error report, and the simulation performance values of the simulation model and the performance values of the actual optical system are obtained. Error correction is carried out through the virtual compensator and the phase plate, and digital twinning of an actual optical system is obtained. According to the invention, the correction of the simulation model is systematically realized, and the problem that actual optics and the simulation model are disjointed is solved.

The invention discloses a mineral supply chain settlement bill multi-version consistency control method based on a block chain. The method comprises the following steps: constructing a bill global state model on a chain for a settlement bill; performing state management on the bill according to a bill global state model through an intelligent contract on the block chain, receiving an operation request of a participating node, updating the model after consensus verification, and forming an ordered version chain; based on the updated bill global state model, synchronizing bill states among participating nodes, and enabling each node to independently verify the consistency of the bill states; when a dispute occurs in bill circulation, freezing state updating through the smart contract, performing arbitration based on the version chain to generate a new version, and recovering circulation; the version information is verified when the state is updated through the smart contract to prevent concurrent conflicts, and a bill history tracing function is provided for each node. According to the invention, the full-process credible tracing and efficient cooperation of the full life cycle of the mineral supply chain settlement bill are realized.

The invention relates to a positive consistency control method for a multi-time-delay multi-agent system under a switching topology, which comprises the following steps of: firstly, establishing a mathematical model of the multi-time-delay multi-agent system under the switching topology, and quantitatively expressing state, input, time-varying time-delay, distribution time-delay and other signals of the multi-agent system; designing a distributed consistency control protocol by using the relative state information of the intelligent agent, giving an analytic expression of the consistency control protocol to obtain a corresponding closed-loop control system expression, and obtaining a sufficient and necessary condition that the state of the closed-loop control system is always positive according to a positive system control theory; finally, the multi-agent system is controlled according to the consistency control protocol, and consistency is achieved while the state of the obtained closed-loop control system is kept to be positive. According to the invention, the positive maintenance technology is introduced into positive consistency control, and the topology dependence average residence time method is introduced into the design of the switching signal, so that the multi-time-lag influence of the system is eliminated, and the positive maintenance and consistency control targets of the system state are realized.

The invention relates to an unmanned aerial vehicle cluster flight attitude adaptive consistency control method based on a directed support tree. The method comprises the following steps: constructing a multi-agent system about unmanned aerial vehicles; defining that the multi-agent system interacts on a directed connected graph, wherein the directed connected graph comprises a directed support tree; designing a deterministic equivalent controller for the multi-agent system; popularizing a deterministic equivalence controller to a time-varying coupling gain; parameter design of the time-varying coupling deterministic equivalent controller is carried out; finding a directed support tree from the directed connected graph by using a breadth-first search algorithm; constructing an undirected version of the directed support tree; and the system state is circularly updated through the directed connected graph and the undirected support tree, so that unmanned aerial vehicle cluster flight attitude adaptive consistency control is realized. According to the method, multi-agent adaptive leader-free consistency is realized on the directed support tree, the problem caused by uncertainty in a model in a communication graph is solved, and unmanned aerial vehicle cluster flight attitude adaptive consistency control is realized.

The invention discloses an intelligent analysis execution method and system for database cascade operation. The method comprises the following steps: constructing an adjacent matrix of a relationship between tables by utilizing a topological relationship analysis module; executing a transitive closure operation through a cascade influence domain calculation module to identify a full dependency table, and generating a linear execution sequence based on topological sorting; a batch asynchronous scheduling module is used for splitting the total data record into independent data fragments according to a threshold value, packaging the independent data fragments into task messages and pushing the task messages into a message queue; the transaction consistency control module is used for reading messages to start independent transactions, and a finite-state machine is used for controlling execution and submission of instructions. According to the method, complex dependence is analyzed through graph theory modeling, and an asynchronous fragmentation scheduling mechanism is combined, so that database lock competition caused by long transactions is effectively avoided, and the system throughput and data consistency in a high-concurrency scene are remarkably improved.

The application discloses a kind of event trigger control-based heterogeneous multi-agent system consistency control method, the heterogeneous multi-agent system contains m first-order multi-agent, N-m second-order multi-agent, communication is carried out through weighted undirected network;First, according to the convergence of the heterogeneous multi-agent system to consistency, the position of agent converges to the average value of position, and the speed converges to 0, define the average value of position convergence;Then the consistency problem of the heterogeneous multi-agent system is converted into a stability problem, and the consistency control of the heterogeneous multi-agent system is realized by piecewise control input rate and event trigger control.The application combines the event trigger control of combined measurement method, inherits the consistency of first-order second-order heterogeneous multi-agent system, reduces the loss of communication resources.The condition of matrix Q is that its minimum singular value is greater than 0, to reduce the conservativeness of event trigger condition.