Networked control system is a fully distributed and real-time feedbackcontrol system. It makes the resource sharing and coordinated operation in thedifferent locations within this area. But in the process of actual research, sincethe sensor, controller, actuator in networked control system are connected by acommon communication medium, the information collision and resendphenomenon often happen. So the time-delay inevitably exists in the process ofinformation transmission, the time-delay is called networked induced delay. Theexistence of time delay makes the performance in networked control systemdegrade, makes the stability scope of system to be narrow, and even makes thesystem unstable. So research on networked control system with time-delay has acertain theoretical and practical significance. In addition, for the actual system,the stability of system and other performance should be considered together. Soin this paper, guaranteed cost controller design problem for networked controlsystem with time-delay is mainly studied, the main research contents are asfollows.Guaranteed cost controller design for a class of uncertainty T-S fuzzysystems with actuator fault is studied. The sufficient conditions for the existenceof state feedback guaranteed cost reliable controller is deduced, and then aconvex optimization problem is set up and solved, the design method of statefeedback optimal reliable guaranteed cost control law is obtained.The uncertain time-delay system with actuator failures is studied. When thestates of system are not available, the Lyapunov function method is used, thesufficient condition that guaranteed cost control exists is given, dynamic outputfeedback controller is designed.Guaranteed cost controller design problem of T-S fuzzy networked control system based on state observer is studied. A fuzzy observer that used to estimatethe state of controlled plant is designed. The networked time-delay of system isbelow its upper bound, the algorithm of solving guaranteed cost controller gainand observer gain is deduced, and the calculation formula of the upper bound isgiven. At last, numerical examples are given to verify the feasibility of theproposed theory. |