Title :
Robust controller synthesis using the maximum entropy design equations
Author :
Bernstein, Dennis S. ; Greeley, Scott W.
Author_Institution :
Harris Corporation, Melbourne, FL, USA
fDate :
4/1/1986 12:00:00 AM
Abstract :
This note presents an application of the optimality conditions obtained in [1] for dynamic compensation in the presence of state-, control-, and measurement-dependent noise. By solving these equations, which represent a fundamental generalization of standard steady-state LQG theory, a series of increasingly robust control designs is obtained for the example considered in [2].
Keywords :
Linear quadratic Gaussian (LQG) control; Maximum-entropy methods; Robustness, linear systems; Stochastic optimal control, linear systems; Automatic control; Circuits; Entropy; Equations; Linear systems; Optimal control; Polynomials; Robust control; Servomechanisms; State-space methods;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1986.1104274