Region-Free Explicit Model-Predictive Control for Linear Systems on Hilbert Spaces
成果类型:
Article
署名作者:
Kurula, Mikael; Humaloja, Jukka-Pekka; Dubljevic, Stevan
署名单位:
Abo Akademi University; Technical University of Crete; University of Alberta
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2024.3430416
发表日期:
2025
页码:
518-525
关键词:
Optimal control
optimization
COSTS
Predictive control
Linear systems
Space exploration
Hilbert space
Distributed parameter systems
optimal control
predictive control for linear systems
摘要:
In this article, we extend discrete-time explicit model-predictive control (MPC) rigorously to linear distributed parameter systems. After formulating an MPC framework and giving a relevant Karush-Kuhn-Tucker theorem, we realize fast regionless explicit MPC by using the dual-active-set method QPKWIK. A Timoshenko beam with input and state constraints is used to demonstrate the efficacy of the design at controlling a continuous-time hyperbolic partial differential equation with constraints, using a discrete-time explicit MPC controller.
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