Stabilization for Quantized Feedback Control Systems: An LMI Approach

2011 ◽  
Vol 383-390 ◽  
pp. 2161-2167
Author(s):  
Jin Fang
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Communication Channel ◽  
Feedback Stabilization ◽  
Control Problems ◽  
Quantization Scheme ◽  
Lmi Approach ◽  
Quantized Feedback ◽  
Feedback Control Systems ◽  
Proof Techniques

This paper addresses the feedback stabilization problem for quantized feedback control systems, where sensors and controllers are connected by a digital communication channel. A dynamic, logarithmic quantization scheme is proposed. It is shown that quantized feedback control problems can be converted to robust control problems. The proof techniques rely on the LMI approach. Simulation results show the validity of the proposed quantization policy.

Shannon’s Theory and Feedback Systems

1960 ◽  
Vol 82 (1) ◽  
pp. 46-50
Author(s):  
S. S. L. Chang
Keyword(s):  
Information Theory ◽  
Feedback Control ◽  
Control Systems ◽  
Communication Channel ◽  
Transfer Functions ◽  
The Other ◽  
Feedback Systems ◽  
Threshold Levels ◽  
System Components ◽  
Feedback Control Systems

Feedback can be used as a means of realizing Shannon-predicted errorless capacity of a noisy communication channel. On the other hand, Shannon’s information theory can be used as a guide for rating feedback control systems as well as selecting system components. A brief summary of the former aspect and the results from some preliminary investigations of the latter aspect are presented. Included topics are calculations of required information capacities of control systems from input characteristics and fidelity requirements, required information capacities of system components, and calculation of information capacities of system components from saturation limits, threshold levels, and transfer functions.

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