Title :
An algebraic approach to multiobjective stochastic control for linear continuous systems with variance constraints
Author :
Zidong Wang ; Unbehauen, H.
Author_Institution :
Autom. Control Lab., Ruhr-Univ. Bochum, Bochum, Germany
Abstract :
This paper consists of two parts. In the first part, the problem of controller design for linear continuous systems with prespecified H∞ norm, circular pole and steady-state variance constraints is considered. Furthermore, in the second part, the problem of performance robust controller design for linear continuous uncertain systems with variance and circular pole constraints is studied. Effective, algebraic, modified Riccati equation approaches are developed to solve the addressed problems. Numerical examples are provided to show the usefulness and applicability of the present approaches.
Keywords :
H∞ control; Riccati equations; constraint theory; continuous systems; control system synthesis; linear systems; pole assignment; robust control; stochastic systems; uncertain systems; H∞ norm; algebraic approach; algebraic modified Riccati equation; circular pole constraints; linear continuous uncertain systems; multiobjective stochastic control; performance robust controller design; steady-state variance constraints; Continuous time systems; Control systems; Control theory; Covariance matrices; Robustness; Steady-state; Uncertain systems; Constrained variance design; H∞ control; Linear continuous stochastic systems; Regional pole placement; Robust control;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6