Technical Communique: A synthesis approach of on-line constrained robust model predictive control

Authors:
Baocang Ding;Yugeng Xi;Shaoyuan Li
Affiliations:
Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, People's Republic of China;Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, People's Republic of China;Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, People's Republic of China
Venue:
Automatica (Journal of IFAC)
Year:
2004

Citing 3
Cited 5

Robust constrained model predictive control using linear matrix inequalities

Automatica (Journal of IFAC)
Brief An improved approach for constrained robust model predictive control

Automatica (Journal of IFAC)
Brief Optimizing the end-point state-weighting matrix in model-based predictive control

Automatica (Journal of IFAC)

Constrained linear time-varying quadratic regulation with guaranteed optimality

International Journal of Systems Science
New formulation of robust MPC by incorporating off-line approach with on-line optimization

International Journal of Systems Science
Technical communique: An improved robust model predictive control design in the presence of actuator saturation

Automatica (Journal of IFAC)
Robustly asymptotically stable finite-horizon MPC

Automatica (Journal of IFAC)
Performance Evaluation Based Fault Tolerant Controlwith Actuator Saturation Avoidance

International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis

Quantified Score

Hi-index	22.15

Visualization

Abstract

A new method to address constrained robust model predictive control (MPC) for systems with polytopic description (RPC-SPD) is proposed. This is motivated by two previous techniques. One is the well-known robust MPC that parameterizes the infinite horizon control moves into a single linear state feedback law. The other is a nominal on-line MPC that splits the infinite horizon control moves into a set of free control moves over a fixed horizon and a state feedback law in the terminal region. The basic idea here is to adopt the rationale of the second technique to improve feasibility and optimality of the first one. A parameter-dependent Lyapunov function is developed for establishing the closed-loop stability. The performance of the controller is demonstrated by an example.