| 具有结构不确定性的时滞系统的闭环鲁棒预测控制器 |
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| 引用本文： | 郑鹏远,席裕庚,李德伟.具有结构不确定性的时滞系统的闭环鲁棒预测控制器[J].控制理论与应用,2013,30(6):683-692. |
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| 作者姓名： | 郑鹏远 席裕庚 李德伟 |
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| 作者单位： | 1. 上海交通大学自动化系,上海 200240;系统控制与信息处理教育部重点实验室,上海 200240;上海交通大学密西根学院,上海 200240
2. 上海交通大学自动化系,上海 200240;系统控制与信息处理教育部重点实验室,上海 200240 |
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| 基金项目： | This work is supported by the National Natural Science Foundation of China (Nos. 60934007, 61074060, 61104078). |
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| 摘 要： | 针对具有结构不确定性的时滞系统,设计了闭环鲁棒预测控制算法.该控制算法基于控制不变集方法,通过采用双模控制和闭环控制策略,增加了控制设计的自由度,进而扩大了系统的初始可行域并能获得较优的控制性能.仿真结果验证了该方法的有效性.
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| 关 键 词： | 鲁棒预测控制 时滞 结构不确定性 双模控制 控制不变集 线性矩阵不等式 |
| 收稿时间： | 2012/2/14 0:00:00 |
| 修稿时间： | 4/3/2013 12:00:00 AM |
Closed-loop robust model predictive control for time-delay systems with structured uncertainties |
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| ZHENG Peng-yuan,XI Yu-geng and LI De-wei.Closed-loop robust model predictive control for time-delay systems with structured uncertainties[J].Control Theory & Applications,2013,30(6):683-692. |
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| Authors: | ZHENG Peng-yuan XI Yu-geng and LI De-wei |
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| Affiliation: | Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China; University of Michigan-Shanghai Jiao Tong University Joint Institute,Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China,Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China |
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| Abstract: | In the controller design, we adopt both the dual-mode framework and the closed-loop strategy to augment the degrees of freedom. On the basis of the control invariant set, the closed-loop robust model predictive control approach is developed. The proposed approach enlarges the region of attraction and achieves good control performance. The effectiveness of the proposed approach is validated by a simulation. |
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| Keywords: | robust model predictive control time-delay structured uncertainty dual-mode control invariant set linear matrix inequalities |
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