Title :
Designing stabilizing control of uncertain systems by quasiconvex optimization
Author_Institution :
Dept. of Mech. & Ind. Eng., Southern Illinois Univ., Edwardsville, IL, USA
fDate :
1/1/1994 12:00:00 AM
Abstract :
The design of stabilizing linear output feedback control of uncertain systems is a computationally demanding optimization problem as local minima may exist which are distinct from the global minimum. However, in some special cases, quasiconvexity can be proven through a simple redefinition of variables and/or a reformulation of the problem in the dual form. Such special cases include state feedback control for both discrete and continuous time systems
Keywords :
control system synthesis; duality (mathematics); feedback; linear systems; stability; dual form; global minimum; local minima; quasiconvex optimization; quasiconvexity; stabilizing control design; stabilizing linear output feedback control; state feedback control; uncertain systems; Control systems; Design optimization; Linear feedback control systems; Linear systems; Output feedback; Riccati equations; State feedback; Sufficient conditions; Uncertain systems; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on
