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This paper investigates the feedback stabilization problem for networked control systems (NCSs) with unbound process noise, where sensors and controllers are connected via noiseless digital channels carrying a finite number of bits per unit time. A sufficient condition for stabilization of NCSs, which relies on a variable-rate digital link used to transmit state measurements, is derived. A lower bound of data rates, above which there exists a quantization, coding and control scheme to guarantee both stabilization and a prescribed control performance of the unstable discrete-time plant, is presented. An illustrative example is given to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

By the insertion of a limited communication network in the feedback control loop, this paper investigates the quantized H∞ control problem for discrete-time systems with random packet losses. A new quantized random packet-loss model is proposed and exploited to study the relationship among the packet-loss rate, the upper bound of consecutive packet losses, the quantizer range and the systemperformance. A convex optimizationmethod is proposed to optimize static quantzier ranges, and further an observer-based H∞ control strategy with minimized static quantizer range is proposed to guarantee the closed-loop system exponentially mean-square stable and with a prescribed H∞ disturbance attenuation level. A numerical example is given to illustrate the effectiveness and the significance of the proposed control method. [ABSTRACT FROM AUTHOR]