Multivariable control design for stochastic systems with saturated driving: LQG optimal approach
- 1 March 1988
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 47 (3) , 851-865
- https://doi.org/10.1080/00207178808906057
Abstract
A stability criterion for stochastic multivariable feedback systems with saturated actuators is derived. An algorithm is proposed to choose an appropriate linear-quadratic-gaussian (LQG) performance index scalar to satisfy the stability criterion, and then a robust LQG optimal controller is obtained to override the limit cycle or instability incurred by saturated actuators employed in control systems. Finally, a simulation is given to support the results.Keywords
This publication has 14 references indexed in Scilit:
- Stability analysis of single loop control systems with saturation and antireset-windup circuitsIEEE Transactions on Automatic Control, 1983
- Robustness results in linear-quadratic Gaussian based multivariable control designsIEEE Transactions on Automatic Control, 1981
- Computation of matrix fraction descriptions of linear time-invariant systemsIEEE Transactions on Automatic Control, 1981
- Feedback system design: The fractional representation approach to analysis and synthesisIEEE Transactions on Automatic Control, 1980
- Foundations of feedback theory for nonlinear dynamical systemsIEEE Transactions on Circuits and Systems, 1980
- Bauer-type factorization of positive matrices and the theory of matrix polynomials orthogonal on the unit circleIEEE Transactions on Circuits and Systems, 1978
- Gain and phase margin for multiloop LQG regulatorsIEEE Transactions on Automatic Control, 1977
- Modern Wiener-Hopf design of optimal controllers--Part II: The multivariable caseIEEE Transactions on Automatic Control, 1976
- Algorithms for triangular decomposition of block Hankel and Toeplitz matrices with application to factoring positive matrix polynomialsMathematics of Computation, 1973
- Linear Optimal ControlJournal of Dynamic Systems, Measurement, and Control, 1971