Research On Two Control Systems Under Event-Triggered Mechanism

Network control systems(NCSs)components interact information through interconnected digital networks.In order to execute multiple tasks remotely,NCSs connects cyberspace to physical space,which not only saves installation costs,but also enables longdistance communication of different components.Although network communication brings convenience,it will also cause some impact,which often makes the system stability analysis difficult.In practical engineering application,NCSs are often complex and changeable in structure,so many different types of control systems have been proposed,such as T-S(Takagi Sugeno)fuzzy systems proposed due to the serious nonlinear characteristics of the systems.In order to save the energy resources of computing and battery equipment and mitigate the impact of network bandwidth resource constraints,Event-triggered mechanism(ETM)came into being.In this paper,the signals of control systems with two structures are sampled by dynamic ETM and the system models are established.The influence of cyber attacks on the systems is considered.At the same time,the system stability is analyzed,and the numerical simulation of the corresponding system stability is given.The full text is as follows:1.The stochastic stability of NCSs with nonlinear perturbation and parameter uncertainties is studied.A decentralized dynamic event-triggered scheme(DDETS)is introduced to reduce energy consumption and network transmission burden.Each channel can decide whether to transmit signals sampled by corresponding sensors through this mechanism.Due to the unreliability of communication network,a new mathematical model of NCSs based on multi-channel fading and hybrid cyber attacks is established,and the actuator is constrained by saturation.According to Lyapunov stability theory,the stochastic stability of NCSs based on the static controller is verified.And the validity of the theorem is proved by two numerical examples.2.The stochastic stability of a class of T-S fuzzy systems under double deception attack is studied.The system signals are quantized by the logarithmic quantizers and transmitted through the network,and are subject to deception attacks by different modeling methods from sensors to controller and from controller to actuator.In order to save bandwidth resources,a new DDETS is proposed.The triggering mechanism has different triggering frequencies when the system is subjected to deception attacks of different models.Based on the dissipative performance index,a sufficient condition for stochastic stability based on static controller is derived.And the validity of the theorem is proved by a numerical example.