In this paper, two kinds of chaotic systems are controlled respectively with and without time-delay to eliminate their chaotic behaviors. First of all, according to the first-order approximation method and the stabili...In this paper, two kinds of chaotic systems are controlled respectively with and without time-delay to eliminate their chaotic behaviors. First of all, according to the first-order approximation method and the stabilization condition of the linear system, one linear feedback controller is structured to control the chaotic system without time-delay, its chaotic behavior is eliminated and stabilized to its equilibrium. After that, based on the first-order approximation method, the Lyapunov stability theorem, and the matrix inequality theory, the other linear feedback controller is structured to control the chaotic system with time-delay and make it stabilized at its equilibrium. Finally, two numerical examples are given to illustrate the correctness and effectiveness of the two linear feedback controllers.展开更多
A strategy for time-delayed feedback control optimization of quasi linear systems with random excitation is proposed. First, the stochastic averaging method is used to reduce the dimension of the state space and to de...A strategy for time-delayed feedback control optimization of quasi linear systems with random excitation is proposed. First, the stochastic averaging method is used to reduce the dimension of the state space and to derive the stationary response of the system. Secondly, the control law is assumed to be velocity feedback control with time delay and the unknown control gains are determined by the performance indices. The response of the controlled system is predicted through solving the Fokker-Plank-Kolmogorov equation associated with the averaged Ito equation. Finally, numerical examples are used to illustrate the proposed control method, and the numerical results are confirmed by Monte Carlo simulation .展开更多
With noncritical eigenvalues assumed to be campletely controllable stability and linear feedback stabiliz-ablity probems are attacked by the center manifold method, and a procedure had been established for the constru...With noncritical eigenvalues assumed to be campletely controllable stability and linear feedback stabiliz-ablity probems are attacked by the center manifold method, and a procedure had been established for the construction of linear feedback stabilizing law on the basis of noncritical eigenvalue assignment.展开更多
This paper studies the robust stochastic stabilization and robust H∞ control for linear time-delay systems with both Markovian jump parameters and unknown norm-bounded parameter uncertainties. This problem can be sol...This paper studies the robust stochastic stabilization and robust H∞ control for linear time-delay systems with both Markovian jump parameters and unknown norm-bounded parameter uncertainties. This problem can be solved on the basis of stochastic Lyapunov approach and linear matrix inequality (LMI) technique. Sufficient conditions for the existence of stochastic stabilization and robust H∞ state feedback controller are presented in terms of a set of solutions of coupled LMIs. Finally, a numerical example is included to demonstrate the practicability of the proposed methods.展开更多
An iterative learning control algorithm based on shifted Legendre orthogonal polynomials is proposed to address the terminal control problem of linear time-varying systems. First, the method parameterizes a linear tim...An iterative learning control algorithm based on shifted Legendre orthogonal polynomials is proposed to address the terminal control problem of linear time-varying systems. First, the method parameterizes a linear time-varying system by using shifted Legendre polynomials approximation. Then, an approximated model for the linear time-varying system is deduced by employing the orthogonality relations and boundary values of shifted Legendre polynomials. Based on the model, the shifted Legendre polynomials coefficients of control function are iteratively adjusted by an optimal iterative learning law derived. The algorithm presented can avoid solving the state transfer matrix of linear time-varying systems. Simulation results illustrate the effectiveness of the proposed method.展开更多
以同一系统中静止同步串联补偿器(static synchronous series compensator,SSSC)和静止无功补偿器(static var compensator,SVC)的共同作用为研究对象,建立了2者的数学参数模型,推导出控制器之间相互作用的量化关系式。通过控制参数分...以同一系统中静止同步串联补偿器(static synchronous series compensator,SSSC)和静止无功补偿器(static var compensator,SVC)的共同作用为研究对象,建立了2者的数学参数模型,推导出控制器之间相互作用的量化关系式。通过控制参数分析和仿真分析得出结论:灵活交流输电(FACTS)装置的控制方式和电气耦合程度对SSSC和SVC的相互作用有很大影响。最后基于直接反馈线性化(DFL)方法设计了SSSC和SVC协调控制器,仿真结果验证了该协调控制策略的有效性。展开更多
研究在地球万有引力场和磁场中具有结构内阻尼的磁性刚体航天器在圆轨道上平面天平动的混沌行为及其控制。应用 Melnikov方法建立了系统存在横截异宿环的条件。分别采用 Poincare映射、功率谱和 L yapunov指数等数值方法对系统动力学行...研究在地球万有引力场和磁场中具有结构内阻尼的磁性刚体航天器在圆轨道上平面天平动的混沌行为及其控制。应用 Melnikov方法建立了系统存在横截异宿环的条件。分别采用 Poincare映射、功率谱和 L yapunov指数等数值方法对系统动力学行为进行识别。展开更多
基金Supported by the National Natural Science Foundation of China (61863022)the Natural Science Foundation of Gansu Province(20JR10RA329)Scientific Research and Innovation Fund Project of Gansu University of Chinese Medicine in 2019 (2019KCYB-10)。
文摘In this paper, two kinds of chaotic systems are controlled respectively with and without time-delay to eliminate their chaotic behaviors. First of all, according to the first-order approximation method and the stabilization condition of the linear system, one linear feedback controller is structured to control the chaotic system without time-delay, its chaotic behavior is eliminated and stabilized to its equilibrium. After that, based on the first-order approximation method, the Lyapunov stability theorem, and the matrix inequality theory, the other linear feedback controller is structured to control the chaotic system with time-delay and make it stabilized at its equilibrium. Finally, two numerical examples are given to illustrate the correctness and effectiveness of the two linear feedback controllers.
基金the National Natural Science Foundation of China (10772159)Specialized Research Fund for the Doctoral Program of Higher Education of China (20060335125)
文摘A strategy for time-delayed feedback control optimization of quasi linear systems with random excitation is proposed. First, the stochastic averaging method is used to reduce the dimension of the state space and to derive the stationary response of the system. Secondly, the control law is assumed to be velocity feedback control with time delay and the unknown control gains are determined by the performance indices. The response of the controlled system is predicted through solving the Fokker-Plank-Kolmogorov equation associated with the averaged Ito equation. Finally, numerical examples are used to illustrate the proposed control method, and the numerical results are confirmed by Monte Carlo simulation .
文摘With noncritical eigenvalues assumed to be campletely controllable stability and linear feedback stabiliz-ablity probems are attacked by the center manifold method, and a procedure had been established for the construction of linear feedback stabilizing law on the basis of noncritical eigenvalue assignment.
文摘This paper studies the robust stochastic stabilization and robust H∞ control for linear time-delay systems with both Markovian jump parameters and unknown norm-bounded parameter uncertainties. This problem can be solved on the basis of stochastic Lyapunov approach and linear matrix inequality (LMI) technique. Sufficient conditions for the existence of stochastic stabilization and robust H∞ state feedback controller are presented in terms of a set of solutions of coupled LMIs. Finally, a numerical example is included to demonstrate the practicability of the proposed methods.
基金Supported by National Natural Science Foundation of P. R. China (60474049)
文摘An iterative learning control algorithm based on shifted Legendre orthogonal polynomials is proposed to address the terminal control problem of linear time-varying systems. First, the method parameterizes a linear time-varying system by using shifted Legendre polynomials approximation. Then, an approximated model for the linear time-varying system is deduced by employing the orthogonality relations and boundary values of shifted Legendre polynomials. Based on the model, the shifted Legendre polynomials coefficients of control function are iteratively adjusted by an optimal iterative learning law derived. The algorithm presented can avoid solving the state transfer matrix of linear time-varying systems. Simulation results illustrate the effectiveness of the proposed method.
文摘以同一系统中静止同步串联补偿器(static synchronous series compensator,SSSC)和静止无功补偿器(static var compensator,SVC)的共同作用为研究对象,建立了2者的数学参数模型,推导出控制器之间相互作用的量化关系式。通过控制参数分析和仿真分析得出结论:灵活交流输电(FACTS)装置的控制方式和电气耦合程度对SSSC和SVC的相互作用有很大影响。最后基于直接反馈线性化(DFL)方法设计了SSSC和SVC协调控制器,仿真结果验证了该协调控制策略的有效性。
