Title :
Polynomial LQG regulator design for general system configurations
Author :
Casavola, A. ; Mosca, E.
Author_Institution :
Dipartimento di Sistemi e Inf., Firenze Univ., Florence, Italy
fDate :
2/1/1993 12:00:00 AM
Abstract :
A polynomial-equation approach to the linear quadratic Gaussian (LQG) regulation problem for a general system configuration is presented. The solution is given in terms of a left-spectral factorization plus a pair of bilateral Diophantine equations. The resulting control-design procedure is based on an innovations representation of the system. This can be obtained from a physical description by solving, via polynomial equations, a minimum mean-square error filtering problem. The use in cascade of the above two procedures allows one to generalize previous polynomial design results to general system configurations
Keywords :
control system synthesis; optimal control; polynomials; LQG regulator; bilateral Diophantine equations; control system synthesis; general system configurations; left-spectral factorization; linear quadratic Gaussian; minimum mean-square error filtering; optimal control; polynomial; Control systems; Covariance matrix; Design optimization; Dynamic programming; Equations; Filtering; Polynomials; Regulators; Stochastic systems; Technological innovation;
Journal_Title :
Automatic Control, IEEE Transactions on