Tracking control for uncertain time-delay systems based on dynamic structure adaptive neural network

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作者：
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China [1 ]
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来源：
Kong Zhi Li Lun Yu Ying Yong | 2008年 / 5卷 / 970-972期
关键词：
Timing circuits - Uncertain systems - Adaptive control systems - Delay control systems - Navigation - Neural networks;
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摘要：
For nonlinear systems with uncertain time delays, an adaptive tracking controller is presented. We use the Lyapunov-Krasovskii function to design the time-delay compensator and construct its coefficient updating rules. A dynamic structure adaptive neural network is adopted to eliminate the unknown nonlinearities and modeling error. The simulation shows that the presented method is effective.
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