The Research On Stochastic Complex Model Regulation Control Algorithm Based On Event-triggered Mechanism

In the real world,stochastic disturbance is everywhere.Hence,the study of the stabilization of stochastic systems plays an important and relevant role.When signals in the computer control system transmitted in the network layer,it will be injected and deceived by malicious attackers,which will reduce the control performance.Therefore,the study of the stabilization of stochastic systems under network attacks has become one of the hot issues recently.To tackle the wastage of network resources and optimize channel occupancy,the research of event trigger mechanism has great significance.The primary focus of the study includes:(1)A dynamic event-triggered fuzzy control algorithm for a class of stochastic systems under injection and deception attacks is developed.In contrast to the static event-triggered control(SETC),the dynamic event-triggered control(DETC)guarantees a longer trigger interval,which means it can be more efficient in saving communication resources.In addition,both injection and deception attacks are considered to realize the information security,and the single parameter adaptive law is constructed to reduce the computing burden.This algorithm ensures uniform boundedness of all signals in probability,and the output is not violating the given constraint.Finally,the comparison examples of digital simulation and physical model are presented and discussed,which visualize the superiority of the above algorithm.(2)For a class of stochastic systems subject to injection and deception attacks,the problem of fixed-time control based on the self-triggered mechanism is studied in a pioneering way.After developing the self-triggered mechanism and the delay-error-dependence function,a fuzzy adaptive delay-constrained control method is developed by employing the backstepping technique.The self-triggered control(STC)does not require an additional observer to determine the time of the data transmission,which reduces the consumption of the system resources more efficiently.Also,the Lyapunov function with the delay-error-dependence term is developed to solve the deferred output constraint.According to the fault-tolerance STC algorithm,all the signals within the closed-loop system are semi-globally uniformly bounded in probability.And the convergence time is independent of the initial state and the deferred output constraint is implemented.The results of MATLAB simulation experiments show that the self-triggered fault-tolerant control algorithm is feasible.