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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yonggang Wang Tianyou Chai Lianfei Zhai |
| Copyright Year | 2009 |
| Description | Author affiliation: Research Center of Automation, Northeastern University, Shenyang CO 110004, China (Tianyou Chai) || Key Laboratory of Process Industry Automation, Ministry of Education, Northeastern University, Shenyang CO 110004, China (Yonggang Wang; Lianfei Zhai) |
| Abstract | A nonlinear multivariable adaptive decoupling PID control strategy based on multiple models and neural network is proposed for a class of uncertain discrete time nonlinear dynamical systems. The adaptive decoupling PID controller is composed of a linear adaptive PID decoupling controller, a neural network nonlinear adaptive PID decoupling controller and a switch mechanism. The PID parameters of such controller are determined by multivariable generalized predictive control law. The linear adaptive PID controller can ensure the boundedness of the input and output signals in the closed-loop system and the nonlinear adaptive PID controller can improve the performance of the system. Stability and convergence analysis of the proposed adaptive method are given. Finally, simulation examples are included to demonstrate the effectiveness of the proposed method. |
| Starting Page | 1079 |
| Ending Page | 1084 |
| File Size | 407754 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788995605622 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Subject Keyword | Programmable control Adaptive systems Three-term control Neural networks Switches Predictive models Nonlinear control systems Control systems Adaptive control Predictive control |
| Content Type | Text |
| Resource Type | Article |
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