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This paper investigates the feedback stabilization problem for networked control systems (NCSs) with unknown disturbances, where sensors and actuators communicate with a remote controller over a multi-purpose network. A new control scheme, which relies on both information-theoretic and control-theoretic tools, is proposed to stabilize linear discrete-time plants. A sufficient condition for stabilization...
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 networked control systems (NCSs) with limited data rates over an additive white Gaussian noise (AWGN) channel. The notion of control with limited data rates means specifying the lower bound of data rates, above which there exists a coding and control scheme for stabilization of linear time-invariant systems. Different from the literatures, the...
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...
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