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On the terminal region of model predictive control for non‐linear systems with input/state constraints
Author(s) -
Chen WenHua,
O'Reilly John,
Ballance Donald J.
Publication year - 2003
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.731
Subject(s) - terminal (telecommunication) , weighting , model predictive control , control theory (sociology) , state (computer science) , stability (learning theory) , domain (mathematical analysis) , control (management) , computer science , mathematical optimization , mathematics , algorithm , artificial intelligence , medicine , telecommunications , mathematical analysis , machine learning , radiology
This paper addresses the terminal region of model‐based predictive control (MPC) for non‐linear systems with control input and state constraints. Based on a stability condition of non‐linear MPC, a method to determine the terminal weighting term in the performance index and the terminal stabilizing control law to enlarge the terminal region and thus the domain of attraction of the non‐linear MPC is proposed. An LMI based optimization approach is developed to choose the terminal weighting item and fictitious terminal stabilizing control law so as to enlarge the terminal region of the non‐linear MPC method. The proposed method is illustrated by a numerical example and compares favourably with existing results. Copyright © 2003 John Wiley & Sons, Ltd.