An ellipsoidal off-line model predictive control strategy for linear parameter varying systems with applications in chemical processes

• Published in: Systems & control letters Vol. 61; no. 3; pp. 435 - 442
• Main Authors: Bumroongsri, P., Kheawhom, S.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.03.2012; Elsevier
• Subjects: Algorithms; Applied sciences; Computer science; control theory; systems; Continuous stirred tank reactors; Control system analysis; Control system synthesis; Control systems; Control theory. Systems; Ellipsoids; Exact sciences and technology; Gain; Linear parameter varying systems; Mathematical models; Modelling and identification; Off-line model predictive control; Optimal control; Predictive control; Scheduling parameter; State feedback; Strategy; Off-line model predictive control; Scheduling parameter; Linear parameter varying systems; Continuous stirred tank reactors; Polytope; State feedback; Linear interpolation; On line; Robust stability; Feedback regulation; Linear parameter varying system; Scheduling; Continuous stirred tank reactor; Real time; Robust control; Model predictive control; Chemical reactor; Indirect method; Off line; Robustness; System identification; Sampling; Ellipsoid

In this paper, a novel off-line model predictive control strategy for linear parameter varying systems is presented. The on-line computational burdens are reduced by pre-computing off-line the sequences of state feedback gains corresponding to the sequences of nested ellipsoids. The number of sequen...