| 改进的非线性离散系统自适应数据驱动控制 |
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| 引用本文： | 董娜,吴爱国,陈增强.改进的非线性离散系统自适应数据驱动控制[J].控制理论与应用,2013,30(10):1309-1314. |
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| 作者姓名： | 董娜 吴爱国 陈增强 |
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| 作者单位： | 天津大学 天津市过程检测与控制重点实验室; 电气与自动化工程学院,天津大学 天津市过程检测与控制重点实验室; 电气与自动化工程学院,南开大学 信息技术科学学院自动化系 |
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| 基金项目： | 天津市应用基础与前沿技术研究计划资助项目(13JCQNJC03600); 国家自然科学基金资助项目(61174094); 天津大学自主创新研究基金资助项目(2013XQ-0041). |
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| 摘 要： | 基于同步扰动随机近似的算法, 控制器选取为一个函数逼近器, 并在这里被确定为神经网络. 控制算法中使用了自适应的参数估计, 明显改善了控制性能, 同时也给出了相应的收敛性分析. 最后, 新型的控制算法被应用到了解决非线性离散系统的跟踪控制问题中, 并通过仿真比较结果, 充分验证了这种自适应数据驱动控制策略的可行性和有效性.
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| 关 键 词： | 自适应数据驱动控制 同步扰动随机近似 神经网络 非线性离散系统 |
| 收稿时间： | 2012/9/21 0:00:00 |
| 修稿时间： | 2013/4/11 0:00:00 |
Improved adaptive data-driven control for discrete nonlinear systems |
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| DONG N,WU Ai-guo and CHEN Zeng-qiang.Improved adaptive data-driven control for discrete nonlinear systems[J].Control Theory & Applications,2013,30(10):1309-1314. |
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| Authors: | DONG N WU Ai-guo and CHEN Zeng-qiang |
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| Affiliation: | Tianjin Key Laboratory of Process Measurement and Control; School of Electrical Engineering and Automation, Tianjin University,Tianjin Key Laboratory of Process Measurement and Control; School of Electrical Engineering and Automation, Tianjin University,Department of Automation, College of Information Technical Science, Nankai University |
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| Abstract: | The controller is designed based on the simultaneous perturbation stochastic approximation (SPSA) method and is constructed through the use of a function approximator (FA) which is actually a neural network. In the control algorithm, the adaptive parameter estimator is employed for improving the control performances. The proposed control strategy is proved to be convergent and is applied to solve nonlinear tracking problems for discrete-time nonlinear systems. The feasibility and effectiveness of the proposed adaptive data-driven control strategy is well validated through simulation comparison tests. |
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| Keywords: | adaptive data-driven control simultaneous perturbation stochastic approximation neural networks discrete nonlinear systems |
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