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Tracking setpoint robust model predictive control for input saturated and softened state constraints

Vu, Trieu Minh (2011) Tracking setpoint robust model predictive control for input saturated and softened state constraints. INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS, 9 (5). pp. 958-965. ISSN 15986446

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Abstract

This paper starts with a brief review of robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. However when RMPC has both input and state constraints, difficulties will arise due to the inability to satisfy the state constraints. In this paper, we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. A brief comparative simulation of the two new RMPC schemes is implemented via examples to demonstrate the ability of the new RMPC schemes.

Item Type:Article
Subjects:T Technology > T Technology (General)
Departments / MOR / COE:Departments > Mechanical Engineering
ID Code:6539
Deposited By: Dr Trieu Minh Vu
Deposited On:27 Oct 2011 00:31
Last Modified:19 Jan 2017 08:22

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