TY - GEN
T1 - Quasi-min-max model predictive control for constrained LPV systems
AU - Nguyen, H. N.
AU - Bourdais, R.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/9
Y1 - 2014/12/9
N2 - This paper proposes a novel model predictive controller for polytopic linear parameter-varying (LPV) discrete-time systems with state and control constraints. It is assumed that the time-varying parameters are measured online, but their future behavior is uncertain and contained in a given polytope. The main idea is to use an interpolation technique to obtain a suitable terminal constrained set and suitable terminal cost together with one-step model predictive controller. At each time instant a quadratic programming problem is solved on-line. Proofs recursive feasibility and asymptotic stability are given.
AB - This paper proposes a novel model predictive controller for polytopic linear parameter-varying (LPV) discrete-time systems with state and control constraints. It is assumed that the time-varying parameters are measured online, but their future behavior is uncertain and contained in a given polytope. The main idea is to use an interpolation technique to obtain a suitable terminal constrained set and suitable terminal cost together with one-step model predictive controller. At each time instant a quadratic programming problem is solved on-line. Proofs recursive feasibility and asymptotic stability are given.
UR - https://www.scopus.com/pages/publications/84920545163
U2 - 10.1109/CCA.2014.6981521
DO - 10.1109/CCA.2014.6981521
M3 - Conference contribution
AN - SCOPUS:84920545163
T3 - 2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014
SP - 1406
EP - 1411
BT - 2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Conference on Control Applications, CCA 2014
Y2 - 8 October 2014 through 10 October 2014
ER -