Title :
Lack of Separation Principle for Quantized Linear Quadratic Gaussian Control
Author_Institution :
Sch. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
This technical note studies the quantized linear quadratic Gaussian (LQG) control problem which is generalized from the classical LQG control but with the constraint that the feedback signal is quantized with a fixed bit rate. We show that state feedback control, state estimation and quantization can not be fully separated in general. Only a weak separation principle holds which converts the quantized LQG control problem into a quantized state estimation problem. Further separation of estimation and quantization is not possible in general. A concrete example is provided to demonstrate this fact. It is also shown that the so-called “whitening” approach to quantized state estimation is not optimal.
Keywords :
linear quadratic Gaussian control; quantisation (signal); state estimation; state feedback; feedback signal quantization; fixed bit rate; quantized LQG control problem; quantized linear quadratic Gaussian control; quantized state estimation problem; separation principle; state feedback control; whitening approach; Cost function; Decoding; Feedback control; Kalman filters; Quantization; State estimation; State feedback; Certainty equivalence; linear quadratic Gaussian control; networked control; quantized estimation; quantized feedback control; separation principle;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2012.2187010