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Constrained tracking control for nonlinear systems
DOI:10.1016/j.isatra.2017.06.004.png)
摘要
En 中文
This paper proposes a tracking control strategy for nonlinear systems without needing a prior knowledge of the reference trajectory. The proposed method consists of a set of local controllers with appropriate overlaps in their stability regions and an on-line switching strategy which implements these controllers and uses some augmented intermediate controllers to ensure steering the system states to the desired set points without needing to redesign the controller for each value of set point changes. The proposed approach provides smooth transient responses despite switching among the local controllers. It should be mentioned that the stability regions of the proposed controllers could be estimated off-line for a range of set-point changes. The efficiencies of the proposed algorithm are illustrated via two example simulations. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Set point tracking
Robust model predictive controller
Gain scheduling
Domain of attraction
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期刊
IF:
6.5
论文数:
6.1K
被引数:
2.0W
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引用论文
Efficient scheduled stabilizing model predictive control for constrained nonlinear systems约束非线性系统的高效预定稳定模型预测控制

