• 论文 •

### 具有未建模动态耦合大系统的分散自适应动态面控制

1. 扬州大学信息工程学院自动化专业部,扬州 225127
• 收稿日期:2014-04-25 出版日期:2014-07-25 发布日期:2014-12-26

XIA Xiaonan， ZHANG Tianping ，ZHU Hongbin. DECENTRALIZED ADAPTIVE DYNAMIC SURFACE CONTROL OF LARGE-SCALE INTERCONNECTEDSYSTEMS WITH UNMODELED DYNAMICS[J]. Journal of Systems Science and Mathematical Sciences, 2014, 34(7): 838-852.

### DECENTRALIZED ADAPTIVE DYNAMIC SURFACE CONTROL OF LARGE-SCALE INTERCONNECTEDSYSTEMS WITH UNMODELED DYNAMICS

XIA Xiaonan， ZHANG Tianping ，ZHU Hongbin

1. Department of Automation, College of Information Engineering, Yangzhou University, Yangzhou 225127
In this paper, using neural networks to approximate the unknown continuous function, decentralized adaptive neural dynamic surface control is proposed for a class of large-scale nonlinear interconnected systems with unmodeled dynamics. A dynamic signal is introduced to dominate the unmodeled dynamics in the design. The restrictions of the disturbances and interconnections are relaxed by using the separation technique. By combining dynamic surface control with backstepping, such as the explosion of complexity'' problem caused by the repeated differentiations on virtual control in traditional backstepping design is effectively solved. The decentralized adaptive control of interconnected large-scale systems is realized. By theoretical analysis, the closed-loop control system is shown to be semi-globally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of the origin by appropriately choosing design parameters. Simulation results are provided to verify the effectiveness of the proposed approach.