摘要：AbstractThe paper is concerned with stability analysis of nonlinear networked systems which are described by the Takagi-Sugeno fuzzy systems. In the networked control system, the information is exchanged with packets through a network where the data packets encounter delays. The closed-loop system with a controller can be modeled as a fuzzy system with time-varying delays in sensor and actuator modes. Based on a novel Lyapunov-Krasovskii stability theorem, the stability analysis problem of a fuzzy system with time-varying delays is considered. Multiple Lyapunov-Krasovskii function with multiple integral functions allows us to obtain less conservative conditions for the networked control system to be asymptotically stable. In fact, this method drastically reduces the conservatism in stability conditions.
关键词：KeywordsFuzzy systemsIntelligent controlNetworksNonlinear control systemsTime-delay
