Title :
Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems
Author :
White, A. ; Guoming Zhu ; Jongeun Choi
Author_Institution :
Dept. of Mech. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
This paper considers the optimal control of polytopic, discrete-time linear parameter varying (LPV) systems with a guaranteed ℓ2 to ℓ∞ gain. Additionally, to guarantee robust stability of the closed-loop system under parameter variations, ℌ∞ performance criterion is also considered as well. Controllers with a guaranteed ℓ2 to ℓ∞ gain and a guaranteed ℌ∞ performance (ℓ2 to ℓ2 gain) are mixed ℌ2/ℌ∞ controllers. Normally, ℌ2 controllers are obtained by considering a quadratic cost function that balances the output performance with the control input needed to achieve that performance. However, to obtain a controller with a guaranteed ℓ2 to ℓ∞ gain (closely related to the physical performance constraint), the cost function used in the ℌ2 control synthesis minimizes the control input subject to maximal singular-value performance constraints on the output. This problem can be efficiently solved by a convex optimization with linear matrix inequality (LMI) constraints. The contribution of this paper is the characterization of the control synthesis LMIs used to obtain an LPV controller with a guaranteed ℓ2 to ℓ∞ gain and ℌ∞ performance. A numerical example is presented to demonstrate the effectiveness of the convex optimization.
Keywords :
H∞ control; closed loop systems; control system synthesis; convex programming; cost optimal control; discrete time systems; linear matrix inequalities; linear systems; minimisation; robust control; singular value decomposition; ℌ∞ performance criterion; ℌ2 control synthesis; LMI; closed-loop system; control input minimization; convex optimization; discrete-time polytopic LPV systems; guaranteed ℓ2-to-ℓ∞ control; guaranteed ℓ2-to-ℓ∞ gain; linear matrix inequality constraints; linear parameter varying systems; maximal singular-value performance constraints; mixed ℌ2-ℌ∞ controllers; optimal control; parameter variations; quadratic cost function; robust stability; Closed loop systems; Convex functions; Cost function; Linear matrix inequalities; Robust stability; Robustness; Vectors;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580789