Title :
Minimum Variance Control Over a Gaussian Communication Channel
Author :
Freudenberg, J.S. ; Middleton, R.H. ; Braslavsky, J.H.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
We consider the problem of minimizing the response of a plant output to a stochastic disturbance using a control law that relies on the output of a noisy communication channel. We discuss a lower bound on the performance achievable at a specified terminal time using nonlinear time-varying communication and control strategies and show that this bound may be achieved using strategies that are linear. We also consider strategies that are defined over an infinite horizon that may achieve better transient response that those that are optimal for the terminal time problem.
Keywords :
feedback; linear quadratic Gaussian control; nonlinear control systems; telecommunication channels; telecommunication control; time-varying systems; transient response; Gaussian communication channel; control law; feedback communication; linear-quadratic-Gaussian control; minimum variance control; noisy communication channel; nonlinear time-varying ccontrol strategies; nonlinear time-varying communication strategies; signal-to-noise ratio; stochastic disturbance; terminal time problem; transient response; Channel estimation; Decoding; Entropy; Estimation error; Noise measurement; Random variables; Communication channels; control systems; feedback communication; information rates; linear-quadratic-Gaussian control; signal-to-noise ratio (SNR);
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2097831