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This paper addresses the stabilization problem for linear discrete-time systems via limited capacity noisy channels, by which sensors and controllers are connected. It is derived that there exists a lower bound of data rates above which there exists a coding and control scheme to stabilize linear discrete-time dynamical systems over noisy communication channels. A sufficiency condition for the stabilization...
This paper investigates the stabilization problem for stochastic linear systems with quantized output feedback control, in which sensors, controllers and plants are connected by communication channels. A quantization policy, which relies on changing the sensitivity of the quantizer on the basis of available quantized measurements, is proposed. It is derived that based on the policy, the dynamic output...
This paper investigates the quantizer-coder design problem for networked control systems (NCSs) with finite communication bandwidth constraints, where sensors and controllers are connected via digital channels carrying a finite number of bits per unit time. The main purpose is to specify upper and lower bounds of data rates of communication channels, above which there exists a coding and control law...
This note addresses the problem of stabilizing linear time-invariant systems where sensors, controllers and plants are connected by noisy communication channels. A novel quantization, coding and control policy, which relies on both information-theoretic and control-theoretic tools, is proposed. It is derived that such a scheme can stabilize the unstable plant with limited data rates of noisy channels...
One-way delay estimation in the forward and feedback channels is crucial for a networked control system (NCS) due to its important role in the reliability and availability design. Problems existing in current one-way delay estimation schemes are investigated in this paper. A novel hybrid one-way delay estimation scheme, utilizing the hybrid technique that contains an online monitoring mechanism and...
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