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This note investigates the quantized feedback control problem for linear time-invariant systems with communication constraints. The case that sensors, controllers and plants are connected by a communication network is considered. A quantization, coding and control scheme for stabilization of a linear unstable plant is presented. Simulation results show the validity of the proposed scheme.
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 stabilization problem for stochastic continuous-time linear systems with unknown precess disturbance, where the sensors and controllers are connected by a noiseless digital communication channel. A dynamic output feedback controller is employed to stabilize the unstable plant in the mean square sense. A sufficient condition for stabilization in the presence of limited data...
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 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...
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