TY - GEN
T1 - Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems
AU - White, Andrew
AU - Zhu, Guoming
AU - Choi, Jongeun
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84883503687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883503687&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883503687
SN - 9781479901777
T3 - Proceedings of the American Control Conference
SP - 6066
EP - 6071
BT - 2013 American Control Conference, ACC 2013
T2 - 2013 1st American Control Conference, ACC 2013
Y2 - 17 June 2013 through 19 June 2013
ER -