| The research contents of this thesis are about stability analysis of networked control systems (NCS) with multiple-time delay. With the rapid development of control technology and correspondence network technology, and increasingly extending of system scale, more and more control systems adopted the network structure, using networks as a media to interconnect the different components in control system and to realize information exchange and delivering of control signal, so NCS has gained more and more attention. The primary advantages of an NCS are reduced system wiring, ease of system diagnosis and maintenance, and increased system agility. However, because of inserting the network into traditional control system and the limits of the network bend, so that it is inevitably to occur the networked-induced delay while exchanging data among devices connected to the shared medium, and this delay is the main factor to degrade the performance of control systems.In this thesis, the modeling and stability analysis of NCS with multiple-time delay are discussed, methods of fuzzy control and sliding mode control are used in design. Firstly, the evolution of computer-controlled systems, the definition, feature, and research contents of NCS are introduced. The reasons for occurring and influence of the delay, and current developments of NCS are presented. Secondly, a Takagi-Sugeno (T-S) fuzzy model approach is addressed for the NCS with multiple time-delay, a PDC feedback controller is designed, and a sufficient condition is derived for asymptotic stability in the sense of Lyapunov function and linear matrix inequalities (LMI). Based on the above, discussed two sufficient conditions respectively for asymptotic stability of system in which the states are observable or not observable. Moreover, a sliding mode control (SMC) design method is presented for a class of linear NCS with uncertainties and multiple time delay. Finally, the future development of NCS is forecasted.
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