不确定型网络系统的分布式自适应跟踪控制器

彭钧敏; 王佳楠; 叶旭东

doi:10.3724/SP.J.1004.2013.01729

不确定型网络系统的分布式自适应跟踪控制器

doi: 10.3724/SP.J.1004.2013.01729

1.
浙江大学电气工程学院杭州 310027 中国;
2.
中佛罗里达大学电机工程系奥兰多 32826 美国

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出版历程
- 收稿日期: 2012-05-15
- 修回日期: 2013-04-02
- 刊出日期: 2013-10-20

Distributed Adaptive Tracking Control for Unknown Nonlinear Networked Systems

1.
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2.
Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando FL 32826, USA

Funds:

Supported by National Natural Science Foundation of China (61273134)

More Information

Corresponding author: PENG Jun-Min

摘要

摘要: 文章针对带有不确定性的非线性网络系统设计了协调跟踪控制器, 使得follower实现了对仅部分信息可测且受干扰的动态leader的跟踪. 文章运用神经网络方法对follower动态进行建模, 提出了基于观测器的自适应控制策略, 并且通过Lyapunov理论证明, 在适当的网络拓扑条件和适当选择参数的前提下, 该网络系统可以达UUB (Cooperative Uniformly Ultimately Bounded). 最后, 文章给出仿真实例以验证所提算法的有效性.
- 协调控制 /
- 跟踪控制 /
- 非线性网络系统 /
- 神经网络 /
- 自适应控制
Abstract: In this paper, we investigate the cooperative track-ing problem for a class of nonlinear uncertain networked systems subject to an active leader, whose state can merely be partially measured and input channel is disturbed as well. By virtue of neural network (NN) technique, the dynamics of followers are properly modeled on certain basis functions and their in-put channels are assumed to be disturbed as well. In this work, an observer-based adaptive control is proposed for the nonlinear networked systems which may have non-identical dynamics. It is shown via Lyapunov theory that the overall system is coop-eratively uniformly ultimately bounded (UUB) by appropriately choosing the parameters under some graph condition. In the end, several numerical simulations are elaborated for validation of the proposed adaptive controller.
- Cooperative control /
- tracking control /
- nonlinear networked system /
- neural network (NN) /
- adaptive control

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参考文献(15)

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