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In this paper, we consider unmanned underwater vehicles over memoryless, digital communication channels, and address the state estimation problem under the data rate limitation. In particular, we consider the case with the process disturbance, and derive the condition for observability at the extreme data rate. It is shown in our results that, the limited data rate has important effects on state estimation...
This paper addresses the feedback stabilization problem for linear time-invariant systems with non-Gaussian state and output noises, where sensors and controllers are connected via a noisy digital communication channel. A sufficient condition for stabilization of the unstable plant in the presence of data-rate constraints, is derived. It is found that there exists a quantization, coding and control...
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...
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...
This paper addresses the problem of stabilizing discrete-time linear systems with quantized state feedback control, where sensors, controllers and plants are connected by noisy communication channels. The approach to be proposed here is to implement dynamic uniform quantizers and dynamic state feedback controllers. The case with disturbance inputs is argued. It is derived that based on the policy,...
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