A new approach to quantized feedback control systems

Automatica ◽  
2008 ◽  
Vol 44 (2) ◽  
pp. 534-542 ◽  
Author(s):  
Huijun Gao ◽  
Tongwen Chen
2011 ◽  
Vol 383-390 ◽  
pp. 2161-2167
Author(s):  
Jin Fang

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.


2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mahmoud Tarokh

Inverse problems have applications in many branches of science and engineering. In this paper we propose a new approach to solving inverse problems which is based on using concepts from feedback control systems to determine the inverse of highly nonlinear, discontinuous, and ill-conditioned input-output relationships. The method uses elements from least squares solutions that are formed within a control loop. The stability and convergence of the inverse solution are established. Several examples demonstrate the applicability of the proposed method.


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