A Nonlinear Self-tuning Control Method Based on Neural Wiener Model | |
Xu Z(徐壮); Zhang B(张弼); Zhao XG(赵新刚); Zhao M(赵明) | |
2018 | |
会议日期 | MAY 25-27, 2018 |
会议地点 | Enshi, PEOPLES R CHINA |
关键词 | Wiener Models Self-tuning Control Neural Networks Closed-loop Stability Ph Control |
页码 | 107-111 |
英文摘要 | In this work, a novel nonlinear self-tuning adaptive control scheme based on the neural Wiener model has been proposed to copy with a class of nonlinear uncertain systems. First the parameterization model with uncertain parameters is derived based on a linear transfer function model followed by neural networks. Then based on the performance index, the adaptive control strategy includes the system parameters identification and the control law calculation. Since the networks are linearly described by some basis functions, the closed-loop system stability can be ensured under some realistic assumptions. Finally, the proposed controller is applied to a pH control problem. The simulation results have demonstrated that the proposed nonlinear self-tuning control method is applicable, especially for its reliable set-point tracking and adaptive abilities. |
源文献作者 | Chinese Assoc Automat, Tech Comm Data Driven Control, Learning & Optimizat,, Hubei Univ Nationalities, IEEE Beijing Sect, IEEE Ind Electron Soc, CAA, IEEE, Beijing Jiaotong Univ, IES, ACTA Automatica Sinica, IEEE/CAA Journal of Automatica Sinica |
产权排序 | 1 |
会议录 | PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS) |
会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-5386-2618-4 |
WOS记录号 | WOS:000450645900020 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/23658] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Zhang B(张弼) |
作者单位 | State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
推荐引用方式 GB/T 7714 | Xu Z,Zhang B,Zhao XG,et al. A Nonlinear Self-tuning Control Method Based on Neural Wiener Model[C]. 见:. Enshi, PEOPLES R CHINA. MAY 25-27, 2018. |
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