Communication control system based on hyperchaotic circuit

Abstract

The invention discloses a communication control system based on a hyper-chaotic circuit, and relates to the technical field of communication control, a state observation module estimates the state of a hyper-chaotic circuit system in real time, and a compensation calibration module compensates main current, main voltage, main magnetic flux and branch circuit magnetic flux by using deviation values according to the state of the hyper-chaotic circuit system. The parameter optimization module is used for calculating an error rate and adjusting a parameter value of a communication state equation of the hyperchaotic circuit, and finally the evaluation optimization module is used for integrating a corresponding data model and finely adjusting and optimizing a weight coefficient in a formula for calculating a deviation value, so that the system performance is ensured to reach a preset optimal state; and the system can work in an optimal state in real-time work.

Description

Technical Field

[0001] This invention relates to the field of communication control technology, and in particular to a communication control system based on hyperchaotic circuits. Background Technology

[0002] Chua presciently proposed the fourth type of passive device—the memristor—an innovative concept successfully materialized at HP Labs in the United States in 2008. With its unique nonlinear characteristics and built-in memory function, the memristor has shown broad application potential in various fields such as memory technology, chaotic system construction, and neural network circuits. Subsequently, in 2009, Ventra et al. further enriched the memory element family by introducing memsenters and memcells, expanding the boundaries of related research. In recent years, the scientific community has paid particular attention to the design of chaotic circuits incorporating memristors, driving the rapid development of this field.

[0003] On the other hand, communication control systems based on hyperchaotic circuits, as a cutting-edge information transmission and control method, rely on the complex dynamic phenomenon of hyperchaos to achieve encrypted data transmission and system control. Chaos, a major breakthrough in 20th-century physics, reveals the complex external behavioral patterns resulting from the internal randomness of nonlinear deterministic systems. Hyperchaos, as a higher form of chaos, not only possesses greater dynamic complexity but also exhibits stronger anti-interference capabilities, providing new insights for secure communication.

[0004] However, despite the enormous application potential of chaotic communication due to its unique encryption and anti-interference capabilities, chaotic synchronization, as a key component supporting the realization of this technology, still faces multiple challenges and difficulties. Although some preliminary research results have been achieved, how to achieve efficient, stable, and reliable high-dimensional hyperchaotic communication control in practical applications remains a challenging problem. Summary of the Invention

[0005] In response to the above situation, the present invention can predict and calibrate the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux in real time, and adjust the system parameters of chaotic communication in real time, so as to ensure that the system performance reaches the preset optimal state and that the system can work in the best state in real time.

[0006] The technical solution includes a state observation module, which estimates the state of the hyperchaotic circuit system in real time. The specific steps are as follows: S1, input the communication state equation of the hyperchaotic circuit to make the communication control system exhibit a hyperchaotic state and achieve efficient communication control. S2, using the fourth-order Runge-Kutta method combined with a digital system, the communication prediction equations for the hyperchaotic circuit are derived, and calculations are performed based on these equations. , , , , , , , These represent the estimated values ​​of the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1, respectively, and simultaneously set... This refers to the main current of the hyperchaotic circuit actually measured at time t. Similarly... , , The values ​​represent the main voltage, main magnetic flux, and sub-circuit magnetic flux of the hyperchaotic circuit as actually measured at time t. S3, Collect and extract the actual values ​​of main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1. , , , Calculate the ratio of the difference between the estimated and actual main current values ​​at time t+1. Similarly, calculate the ratio of the difference between the estimated and actual main voltage values ​​at time t+1. Calculate the ratio of the difference between the estimated and actual values ​​of the main magnetic flux at time t+1. Calculate the ratio of the difference between the estimated and actual values ​​of the magnetic flux of the circuit at time t+1. ; S4, calculate the overall error M1. ,in This is the correction value for the comprehensive error M1. An M1 greater than 0.4 indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal. If M1 is greater than 0.2 and less than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is abnormal. When M1 is less than 0.2, it indicates that the current operating state of the hyperchaotic circuit system is normal.

[0007] Furthermore, the communication state equation is as follows:

[0008] Where X represents the main current of the hyperchaotic circuit, y represents the main voltage of the hyperchaotic circuit, z represents the main magnetic flux of the hyperchaotic circuit, and w represents the magnetic flux of the sub-circuits of the hyperchaotic circuit. , , , These are system parameters, when , , , When the parameters are set to specific values, the communication control system will exhibit a hyperchaotic state, achieving efficient communication control. The fourth-order Runge-Kutta method, combined with digital systems, yields the following communication prediction equation for hyperchaotic circuits:

[0009] in , , , These represent the estimated values ​​of the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1, respectively. The time step is set in the fourth-order Runge-Kutta method, where T is the sampling time interval. This refers to the main current of the hyperchaotic circuit actually measured at time t. Similarly... , , The values ​​represent the main voltage, main magnetic flux, and sub-circuit magnetic flux of the hyperchaotic circuit as actually measured at time t. , , , The slope is calculated from the recursive formula of the fourth-order Runge-Kutta method.

[0010] Furthermore, it also includes a preprocessing module, which extracts the ratio of the difference between the predicted and actual values ​​of the main current at consecutive times t+1, t+2, t+3, t+4, and t+5 from the state observation module. , , , , Similarly, extract ~ , ~ , ~ And M1~M5, and group the 5 consecutive data points into one set.

[0011] Furthermore, it also includes a compensation and calibration module. When M5 is greater than 0.2 and less than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is abnormal. The compensation and calibration module calculates the deviation value of the main current. ,in , , , These are the actual values ​​of the main current at times t+5, t+4, t+3, and t+2. , , , The estimated values ​​of the main current at times t+5, t+4, t+3, and t+2 are given. Then, the deviation of the main current is compensated for the actual value at time t+5. Compensated main current , Consider the output value of the main current at time t+5, and similarly, the output value after compensating the main voltage. Output value after compensating for main magnetic flux The output value after compensating the magnetic flux of the sub-circuit After compensation Considered as the output value of the main voltage at time t+5, after compensation Considered as the output value of the main magnetic flux at time t+5, after compensation Consider it as the output value of the magnetic flux of the sub-circuit at time t+5; When M5 is greater than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal, and the compensation and calibration module will predict the value. Consider the output value of the main current at time t+5 as the estimated value. Consider the output value of the main voltage at time t+5 as the estimated value. Consider the output value of the main magnetic flux at time t+5 as the estimated value. Consider it as the output value of the magnetic flux of the sub-circuit at time t+5; When M5 is less than 0.2, it indicates that the current operating state of the hyperchaotic circuit system is normal, and the compensation and calibration module directly... , , , The data value is output as normal.

[0012] Furthermore, it also includes a parameter optimization module. When M5 is greater than 0.2 and less than 0.4, the parameter optimization module calculates the error rate N of the main current. ×0.1+ ×0.1+ ×0.2+ ×0.2+ ×0.4+ξ, where ξ is the error rate calibration value of the main current; then N is substituted into the communication state equation of the hyperchaotic circuit. Find Similarly, find , , ,Will , , , replace , , , The parameter will be used as a new parameter value for this system; When M5 is greater than 0.4, a warning signal is sent to the evaluation and optimization module; When M5 is less than 0.2, no parameter optimization is performed.

[0013] Furthermore, it also includes an evaluation and optimization module. When M5 is greater than 0.2, the evaluation and optimization module receives the calibrated data from the compensation and calibration module and integrates the data into the corresponding data model based on the actual operation performance of the communication control system. Subsequently, the data model is continuously iterated and updated, and the weight coefficients in the formula used to calculate the deviation value in the compensation and calibration module are finely adjusted and optimized. Simultaneously, when a warning signal is received from the parameter optimization module, the system parameters will be automatically changed. , , , The set value is then used to re-evaluate the communication control system until M5 is less than 0.2. At this point, the communication control system is considered to have passed the evaluation, and the optimization and calibration of the communication control system is stopped. This indicates that the system performance has reached the preset optimal state and can be used normally.

[0014] Due to the adoption of the above technical solutions, the present invention has the following advantages compared with the prior art; The state observation module estimates the state of the hyperchaotic circuit system in real time. The compensation and calibration module compensates for the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux based on the state of the hyperchaotic circuit system using deviation values. The parameter optimization module calculates the error rate and adjusts the parameter values ​​of the communication state equation of the hyperchaotic circuit. Finally, the evaluation and optimization module integrates the corresponding data model and further finely adjusts and optimizes the weight coefficients in the formula for calculating the deviation value, ensuring that the system performance reaches the preset optimal state and that the system can operate in the best state in real time. Attached Figure Description

[0015] Figure 1 This is a block diagram of a communication control system based on a hyperchaotic circuit according to the present invention. Detailed Implementation

[0016] The foregoing and other technical contents, features and effects of the present invention are described in conjunction with the appendix below. Figure 1 The detailed description of the embodiments will make this clear. All structural details mentioned in the following embodiments are based on the accompanying drawings.

[0017] To achieve efficient, stable, and reliable high-dimensional hyperchaotic communication control in practical applications, it is necessary to monitor the operating status of the high-dimensional hyperchaotic communication control in real time and make accurate adjustments based on its operating status. In addition, since hyperchaotic communication has a high degree of randomness, this solution includes a state observation module. The state observation module estimates the state of the hyperchaotic circuit system in real time. The specific steps are as follows: S1, input the communication state equation of the hyperchaotic circuit to make the communication control system exhibit a hyperchaotic state and achieve efficient communication control. S2, using the fourth-order Runge-Kutta method combined with a digital system, the communication prediction equations for the hyperchaotic circuit are derived, and calculations are performed based on these equations. , , , , , , , These represent the estimated values ​​of the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1, respectively, and simultaneously set... This refers to the main current of the hyperchaotic circuit actually measured at time t. Similarly... , , The values ​​represent the main voltage, main magnetic flux, and sub-circuit magnetic flux of the hyperchaotic circuit as actually measured at time t. S3, Collect and extract the actual values ​​of main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1. , , , Calculate the ratio of the difference between the estimated and actual main current values ​​at time t+1. Similarly, calculate the ratio of the difference between the estimated and actual main voltage values ​​at time t+1. Calculate the ratio of the difference between the estimated and actual values ​​of the main magnetic flux at time t+1. Calculate the ratio of the difference between the estimated and actual values ​​of the magnetic flux of the circuit at time t+1. ; S4, calculate the overall error M1. ,in This is the correction value for the comprehensive error M1. An M1 greater than 0.4 indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal. If M1 is greater than 0.2 and less than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is abnormal. When M1 is less than 0.2, it indicates that the current operating state of the hyperchaotic circuit system is normal.

[0018] Furthermore, the communication state equation is as follows:

[0019] Where X represents the main current of the hyperchaotic circuit, y represents the main voltage of the hyperchaotic circuit, z represents the main magnetic flux of the hyperchaotic circuit, and w represents the magnetic flux of the sub-circuits of the hyperchaotic circuit. , , , These are system parameters, when , , , When the parameters are set to specific values, the communication control system will exhibit a hyperchaotic state, achieving efficient communication control. The fourth-order Runge-Kutta method, combined with digital systems, yields the following communication prediction equation for hyperchaotic circuits:

[0020] in , , , These represent the estimated values ​​of the main current, main voltage, main magnetic flux, and sub-circuit magnetic flux at time t+1, respectively. The time step is set in the fourth-order Runge-Kutta method, where T is the sampling time interval. This refers to the main current of the hyperchaotic circuit actually measured at time t. Similarly... , , The values ​​represent the main voltage, main magnetic flux, and sub-circuit magnetic flux of the hyperchaotic circuit as actually measured at time t. , , , The slope is calculated from the recursive formula of the fourth-order Runge-Kutta method.

[0021] Furthermore, it also includes a preprocessing module, which extracts the ratio of the difference between the predicted and actual values ​​of the main current at consecutive times t+1, t+2, t+3, t+4, and t+5 from the state observation module. , , , , Similarly, extract ~ , ~ , ~ And M1~M5, and group the 5 consecutive data points into one set.

[0022] Furthermore, it also includes a compensation and calibration module. When M5 is greater than 0.2 and less than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is abnormal. The compensation and calibration module calculates the deviation value of the main current. ,in , , , These are the actual values ​​of the main current at times t+5, t+4, t+3, and t+2. , , , The estimated values ​​of the main current at times t+5, t+4, t+3, and t+2 are given. Then, the deviation of the main current is compensated for the actual value at time t+5. Compensated main current , Consider the output value of the main current at time t+5, and similarly, the output value after compensating the main voltage. Output value after compensating for main magnetic flux The output value after compensating the magnetic flux of the sub-circuit After compensation Considered as the output value of the main voltage at time t+5, after compensation Considered as the output value of the main magnetic flux at time t+5, after compensation Consider it as the output value of the magnetic flux of the sub-circuit at time t+5; When M5 is greater than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal, and the compensation and calibration module will predict the value. Consider the output value of the main current at time t+5 as the estimated value. Consider the output value of the main voltage at time t+5 as the estimated value. Consider the output value of the main magnetic flux at time t+5 as the estimated value. Consider it as the output value of the magnetic flux of the sub-circuit at time t+5; When M5 is less than 0.2, it indicates that the current operating state of the hyperchaotic circuit system is normal, and the compensation calibration module directly... , , , The data value is output as normal.

[0023] Furthermore, it also includes a parameter optimization module. When M5 is greater than 0.2 and less than 0.4, the parameter optimization module calculates the error rate N of the main current. ×0.1+ ×0.1+ ×0.2+ ×0.2+ ×0.4+ξ, where ξ is the error rate calibration value of the main current; then N is substituted into the communication state equation of the hyperchaotic circuit. Find Similarly, find , , ,Will , , , replace , , , The parameter will be used as a new parameter value for this system; When M5 is greater than 0.4, a warning signal is sent to the evaluation and optimization module; When M5 is less than 0.2, no parameter optimization is performed.

[0024] Furthermore, it also includes an evaluation and optimization module. When M5 is greater than 0.2, the evaluation and optimization module receives the calibrated data from the compensation and calibration module and integrates the data into the corresponding data model based on the actual operation performance of the communication control system. Subsequently, the data model is continuously iterated and updated, and the weight coefficients in the formula used to calculate the deviation value in the compensation and calibration module are finely adjusted and optimized. Simultaneously, when a warning signal is received from the parameter optimization module, the system parameters will be automatically changed. , , , The set value is then used to re-evaluate the communication control system until M5 is less than 0.2. At this point, the communication control system is considered to have passed the evaluation, and the optimization and calibration of the communication control system is stopped. This indicates that the system performance has reached the preset optimal state and can be used normally.

[0025] In practical application, based on existing technology, the state observation module estimates the state of the hyperchaotic circuit system in real time, and the preprocessing module extracts the ratio of the difference between the predicted and actual values ​​of the main current at consecutive times t+1, t+2, t+3, t+4, and t+5 from the state observation module. , , , , Similarly, extract ~ , ~ , ~ And M1~M5, and group 5 consecutive data points into one set. The compensation and calibration module calculates the deviation value of the main current when M5 is greater than 0.2 and less than 0.4, indicating an abnormal current operating state of the hyperchaotic circuit system. ,in , , , These are the actual values ​​of the main current at times t+5, t+4, t+3, and t+2. , , , The estimated values ​​of the main current at times t+5, t+4, t+3, and t+2 are given. Then, the deviation of the main current is compensated for the actual value at time t+5. The compensated main current , is regarded as the output value of the main current at time t + 5. Similarly, the output value after compensating the main voltage , the output value after compensating the main magnetic flux , the output value after compensating the magnetic flux of the branch circuit , the compensated is regarded as the output value of the main voltage at time t + 5. The compensated is regarded as the output value of the main magnetic flux at time t + 5. The compensated is regarded as the output value of the magnetic flux of the branch circuit at time t + 5; The parameter optimization module calculates the error rate N of the main current = ×0.1 + ×0.1 + ×0.2 + ×0.2 + ×0.4 + ξ, where ξ is the error rate calibration value of the main current; Then substitute N into the communication state equation of the hyperchaotic circuit to find . Similarly, find , , . Substitute , , , to replace , , , parameters as the new parameter values of this system; The evaluation and optimization module will receive the calibrated data from the compensation and calibration module, and based on the operation effect of the actual communication control system, integrate these data into the corresponding data model. Subsequently, this data model will be continuously iterated and updated to automatically fine-tune and optimize the weight coefficients in the formula for calculating the deviation value in the compensation and calibration module; At the same time, when receiving the warning signal sent by the parameter optimization module, it will automatically replace the set values of , , , . Then re-evaluate the communication control system until M5 is less than 0.2, which is regarded as the qualified evaluation of the communication control system, stop the optimization and calibration of the communication control system, and regard the system performance as reaching the preset optimal state and being able to be used normally. It can pre-estimate and calibrate the main current, main voltage, main magnetic flux, and magnetic flux of the branch circuit in real time, and at the same time adjust the system parameters of chaotic communication in real time, ensuring that the system performance reaches the preset optimal state and enabling the system to work in the best state at all times when working in real time.

[0026] The above description is a further detailed explanation of the present invention in conjunction with specific embodiments, and it should not be considered that the specific implementation of the present invention is limited to this. For those skilled in the art to which the present invention pertains and related fields, any extensions, operation methods, and data substitutions made based on the technical solution concept of the present invention should fall within the protection scope of the present invention.

Claims

1. A communication control system based on hyperchaotic circuit, characterized in that: The method comprises a state observation module, wherein the state observation module estimates the state of the hyperchaotic circuit system in real time, and the specific steps are as follows: S1, inputting the communication state equation of the hyperchaotic circuit, so that the communication control system exhibits a hyperchaotic state, and realizes efficient communication; S2, the fourth-order Runge-Kutta method is used in combination with the digital system to deduce the communication prediction equation of the hyperchaotic circuit, and the communication prediction equation is calculated according to the communication prediction equation. , , , , , , , They represent the estimated values ​​of the main current, main voltage, main magnetic flux, and subcircuit magnetic flux at time t+1, respectively. is the main current of the hyperchaotic circuit actually measured at the current time t. Similarly, , , are the main voltage, main magnetic flux, and sub-circuit magnetic flux of the hyperchaotic circuit actually measured at the current moment t; S3, collect and extract the actual values ​​of main current, main voltage, main magnetic flux, and branch circuit magnetic flux at time t+1 , , , , calculate the difference ratio between the estimated value and the actual value of the main current at time t+1 Similarly, calculate the difference ratio between the estimated value and the actual value of the main voltage at time t+1 , calculate the difference ratio between the estimated value and the actual value of the main magnetic flux at time t+1 , calculate the difference ratio between the estimated value and the actual value of the magnetic flux of the sub-circuit at time t+1 ; S4, calculate the comprehensive error M1, ,in is the correction value of the comprehensive error M1. M1 greater than 0.4 indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal; If M1 is greater than 0.2 and less than 0.4, it means that the current operating state of the hyperchaotic circuit system is abnormal; M1 is less than 0.2, indicating that the current operating state of the hyperchaotic circuit system is normal.

2. A communication control system based on a hyperchaotic circuit according to claim 1, characterized in that: The communication state equation is: Where X represents the main current of the hyperchaotic circuit, y represents the main voltage of the hyperchaotic circuit, z represents the main magnetic flux of the hyperchaotic circuit, and w represents the sub-circuit magnetic flux of the hyperchaotic circuit. , , , is the system parameter, when , , , When the parameters are set to specific values, the communication control system will exhibit a hyperchaotic state, achieving efficient communication control; The communication prediction equation of the hyperchaotic circuit is deduced by the fourth-order Runge-Kutta method combined with the digital system: in , , , They represent the estimated values ​​of the main current, main voltage, main magnetic flux, and subcircuit magnetic flux at time t+1 respectively. is the time step set in the fourth-order Runge-Kutta method, T is the sampling time interval, is the main current of the hyperchaotic circuit actually measured at the current time t. Similarly, , , are the main voltage, main magnetic flux, and subcircuit magnetic flux of the hyperchaotic circuit actually measured at the current time t, , , , is the slope calculated from the recursive formula of the fourth-order Runge–Kutta method.

3. A communication control system based on a hyperchaotic circuit according to claim 2, characterized in that: It also includes a preprocessing module, which extracts the difference ratio between the main current estimated value and the actual value at the consecutive times t+1, t+2, t+3, t+4, and t+5 in the state observation module. , , , , , similarly extract ~ , ~ , ~ And M1~M5, and group the 5 consecutive data into one group of data.

4. A communication control system based on a hyperchaotic circuit according to claim 3, characterized in that: It also includes a compensation calibration module. When M5 is greater than 0.2 and less than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is abnormal. The compensation calibration module calculates the deviation value of the main current. ,in , , , is the actual value of the main current at t+5, t+4, t+3, and t+2, , , , It is the estimated value of the main current at t+5, t+4, t+3, and t+2; Then the deviation value of the main current is compensated by the actual value at time t+5 , the main current after compensation , It is regarded as the output value of the main current at time t+5. Similarly, the output value after compensating the main voltage is , the output value after compensating the main magnetic flux , the output value after compensating the magnetic flux of the sub-circuit , after compensation Assumed as the output value of the main voltage at time t+5, the compensated Considered as the output value of the main magnetic flux at time t+5, the compensated It is regarded as the output value of the magnetic flux of the circuit at time t+5; When M5 is greater than 0.4, it indicates that the current operating state of the hyperchaotic circuit system is particularly abnormal, and the compensation calibration module will estimate Assumed as the output value of the main current at time t+5, the estimated value Assumed as the output value of the main voltage at time t+5, the estimated value Considered as the output value of the main magnetic flux at time t+5, the estimated value It is regarded as the output value of the magnetic flux of the circuit at time t+5; When M5 is less than 0.2, it indicates that the current operation state of the hyperchaotic circuit system is normal, and the compensation calibration module directly , , , Treated as normal data value output.

5. A communication control system based on a hyperchaotic circuit according to claim 4, characterized in that: It also includes a parameter optimization module. When M5 is greater than 0.2 and less than 0.4, the parameter optimization module calculates the error rate N of the main current = ×0.1+ ×0.1+ ×0.2+ ×0.2+ ×0.4+ξ, where ξ is the error rate calibration value of the main current; Then substitute N into the communication state equation of the hyperchaotic circuit Find , and similarly find , , ,Will , , , replace , , , The parameter is used as the new parameter value of this system; When M5 is greater than 0.4, a warning signal is sent to the evaluation and optimization module; When M5 is less than 0.2, no parameter optimization is performed.

6. A communication control system based on a hyperchaotic circuit according to claim 5, characterized in that: It also includes an evaluation and optimization module. When M5 is greater than 0.2, the evaluation and optimization module receives the calibrated data from the compensation and calibration module, and integrates the data into the corresponding data model according to the actual operation effect of the communication control system. Subsequently, the data model is continuously iterated and updated to automatically fine-tune and optimize the weight coefficient in the formula for calculating the deviation value in the compensation and calibration module; At the same time, when the warning signal sent by the parameter optimization module is received, the system parameters will be automatically changed. , , , The communication control system is then re-evaluated until M5 is less than 0.2, in which case the communication control system is deemed to have passed the evaluation, and the optimization calibration of the communication control system is stopped. The system performance is deemed to have reached the preset optimal state and can be used normally.

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