Stability and performance of networked control systems has been a recent area of interest in the control literature. The inclusion of a shared communication network between plant and controller inevitably leads to occasional random data loss. We provide novel results relating to the probability of such a system being globally asymptotically stable or input to state stable. Copyright c ©2005 IFAC

This paper presents a novel design strategy for networked control systems, where a centralized controller needs to divide its attention between various actuators. Communication is via an unreliable network affected by data-dropouts and which allows access to only one actuator node at a time. To achieve good performance, control and network protocol are co-designed and signal predictions are sen...

This research is devoted to Fornasnisi-Marchesini model (FM). More precisely, the investigation of control problem for second discrete-time FM. The takes into account random packet loss and quantization errors in network environment. So our modelling method has potential achieve a better stabilization effects. Random dropouts, time delays are taken consideration feedback simultaneously. Measure...

A general class of model-based networked control systems is investigated where the plant has time-varying norm-bounded parameter uncertainties and both the sensor-tocontroller and controller-to-actuator channels experience random packet dropouts. Sufficient conditions for guaranteeing the robust stochastic stability and synthesis of stabilisation controller as well as the design of H∞ controlle...

The problem is considered of estimating a signal based on measurements with multiple packet dropouts when the probability of data arrival at a processing unit is known. Assuming that the equation which describes the signal is unknown, we derive recursive algorithms for the prediction, filtering and smoothing problems using the information provided by the covariance functions of the processes in...

We study a predictive control formulation for uncertain discrete-time non-linear uniformly continuous plant models where controller output data is transmitted over an unreliable communication channel. The channel introduces Markovian data-loss and does not provide acknowledgments of receipt. To achieve robustness with respect to dropouts, at every sampling instant the controller transmits packe...