Improved stabilising conditions for model predictive control

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2000, Pages 172-177

  Mayne, David Q ^a   De Doná, José A ^b   Goodwin, Graham C ^c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; CONSTRAINT THEORY; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS; PROBLEM SOLVING; SET THEORY; SYSTEM STABILITY;

CONSTRAINED OPTIMAL CONTROL PROBLEM; CONSTRAINT SET; MODEL PREDICTIVE CONTROL; UNCONSTRAINED OPTIMAL CONTROL PROBLEM;

PREDICTIVE CONTROL SYSTEMS;

EID: 0034439274     PISSN: 01912216     EISSN: None     Source Type: Journal    
DOI: 10.1109/CDC.2000.912752     Document Type: Article

References (8)

1. On receding horizon feedback control
2. Characterisation of regions in which model predictive control policies have a finite dimensional parameterisation
3. Linear systems with state and control constraints: The theory and application of maximal output admissible sets
4. Unconstrained receding horizon control of nonlinear systems
5. Optimal, infinite horizon feedback laws for a general class of constrained discrete time systems: Stability and moving-horizon approximations
6. Constrained model predictive control: Stability and optimality
7. Constrained linear quadratic regulation