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This paper investigates the input-to-state stability (ISS) for the switched nonlinear system (SNS) under edge-dependent switching signals, which consists of both ISS and non-ISS subsystems. Sufficient conditions ensuring the ISS properties of the SNS are proposed, which indicate that the switched system is ISS if the edge-dependent average dwell time is large enough and the activation time of non-ISS subsystems is comparatively small. The established criterion is quite general and makes an improvement compared with the existing related results. A numerical example and a chemical process are provided to illustrate the advantage and effectiveness of the theoretical result. [ABSTRACT FROM AUTHOR]

This paper addresses networked control problem for discrete-time linear singular systems over unreliable channel. It is assumed that the controller can only receive the transmitted sequence of finite coded signals via unreliable channels, which may be lost due to the limited communication capacity and transmission errors. By introducing compensation terms at every update instant and auxiliary systems in each sampling interval, both state- and output-based coder-decoder-controller procedures are proposed. Then, a uniform sufficient feedback stabilization condition involving the size of coding alphabet, the sampling period and data packet dropout rate is obtained. Finally, an example is given to illustrate the design procedures and effectiveness of the proposed results. [ABSTRACT FROM AUTHOR]

This paper addresses the network-based control problem for a class of descriptor systems in the discrete-time domain with random delays. By modeling the sensor-to-controller and controller-to-actuator delays as Markovian chains, the closed-loop system can be expressed as a jump linear descriptor system with two modes. The stochastically admissible necessary and sufficient condition for the closed-loop system is constructed. An explicit expression for the desired controller is given without any system decomposition. The obtained results are formulated in terms of strict linear matrix inequalities (LMIs). In addition, an example is given to illustrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]