With the rapid developments of computer, network and communication technology, the naissance of intelligentized sensor, executive device and drive consists of the substance foundation of networked control systems (NCS), and the reliability and open issues of NCS have been solved by the sustained developments and successful applications of high speed Ethernet and fieldbus control technology, which promote the extensive applications of NCS. NCS incarnates enough the development tendency of control systems i.e. network, integration, decentralization, intelligence. However, that the problem of uncertain data transmission may degrade the performance of control system and it may even destabilize the system is desiderated to be researched and be solved. In this dissertation, we focus on two kinds of controlled plants, i.e. linear time-invariant normal controlled plant and linear time-invariant descriptor (singular) controlled plant. We consider the main problems of network-induced delay, data packet dropout and disturbance in NCS. Basing on the quality of service of control networks, surrounding the quality of performance of NCS, we study the problems of modeling, stability analysis, robust stabilization, H-infinity optimal control, performance guaranteed optimal control, H-infinity state observer design for NCS. The main contributions of this dissertation are as follows:1.For linear time-invariant normal controlled plant, under the assumption that the sensor nodes are clock-driven, controller nodes and actuator nodes are event-driven and network-induced delay is uncertain, it is less than or equals to a sampling period. Basing on the Lyapunov approach and linear matrix inequality description, we study the problems of modeling, robust stabilization, robust control law design, performance guaranteed optimal control, H_∞ optimal control with noise disturbance for dynamic output feedback NCS, the H_∞ state observer design with uncertain delay and robust stability of NCS based on state observer. The dynamic output feedback NCS is modeled as a discrete time-variant system with uncertainty. The condition of robust stability and the design method of robust control law, performance guaranteed optimal control law and H_∞ optimal control law for dynamic... |