Robust Dynamic Output Feedback Control For Uncertain Stochastic Markov Jump Systems With Time Delays Under Non-Fragile,Sampling And Asynchronous Mechanism

The devise of dynamic output feedback(DOF)controller is a hot and difficult point in the control field.At present,the system synthesis of various performance indexes depends on state feedback(SF),however,in many practical problems,the state of the system can not be directly measured.Therefore,although the SF is functionally superior to the output feedback,it is difficult to use the SF control law to control the system.Sometimes,even if the state of the system can be measured directly,the output feedback is needed to control the system,due to the cost of the system control and the reliability of the system,such factors need to be considered.Under this development trend,the output feedback stability and the controller design play an important role in studying the control system.Thus,the thesis largely researches the design and stability analysis of robust H_∞-DOF controllers for uncertain random Markoc jump(MJ)systems with time-varying delays(TVD),T-S fuzzy uncertain stochastic MJ systems with TVD,uncertain Markov jumping neural network system with modal-dependent TVD and bounded norm.The following research are mainly including:1.The problem of resilience H_∞-DOF control for uncertain stochastic MJ systems with TVD is studied.By introducing linear matrix inequalities(LMIs)techniques and slack variables,improved time delays dependent stochastic stability conditions and bounded real lemmas are obtained,which reduces the conservativeness brought by boundary techniques and model transformations.At last,the conclusions obtained are verified by practical examples.2.The problem of sampled-date H_∞-DOF control for T-S fuzzy MJ systems is considered.For T-S fuzzy systems,a H_∞-DOF controller design method is proposed when the limit interval bound of the sampling is known,a Lyapunov function satisfies the form of two-sided which contains both the modal information and the whole sampling interval is constructed.At last,the conclusions obtained are verified by practical examples.3.The problem of asynchronous robust H_∞-DOF control for a kind of uncertain MJ neural network systems with norm bounded and modal-dependent TVD is discussed.By designing a DOF controller with asynchronous dependent modes,to ensure that the closed-loop TVD MJ neural network reaches different convergence speeds and satisfies the H_∞performance index.At last,the conclusions obtained are verified by practical examples.