Robust indirect adaptive sliding model control for Wiener nonlinear systems | |
Zhang B(张弼)1,2; Zhao XG(赵新刚)1,2 | |
刊名 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
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2020 | |
卷号 | 51期号:7页码:1307-1323 |
关键词 | Wiener model adaptive control unstable zero-dynamics stability pH process |
ISSN号 | 0020-7721 |
产权排序 | 1 |
英文摘要 | Wiener model structures have attracted considerable attentions due to their powerful modelling abilities to solve industrial problems. This paper considers a new class of Wiener model structure, which consists of a linear transfer function and a radial basis function (RBF) network. Based on this structure, the unstable zero-dynamics, the added disturbances and the approximation errors problems can be dealt with. Since the model parameters are assumed unknown, we develop a new indirect adaptive control scheme. It is a consensus that the certainty equivalence principle is the key that connects the adaptation algorithm with the control law. This paper explains that, for indirect adaptive control of Wiener model, this principle may not be applied directly. The main contribution of this paper is to address this issue by presenting a rigorous theoretical analysis. Representative examples including a simulated pH process control problem are studied to test the control performance. Comparison results indicate that the proposed controller has much wider applicability than some alternative methods, especially for its improved performance and smoother adaptation. |
资助项目 | China Postdoctoral Science Foundation[2019M661157] ; Self-planned Project of the State Key Laboratory of Robotics[2019-Z12] ; Natural Science Foundation of Liaoning Province[20180540131] |
WOS关键词 | PREDICTIVE CONTROL ; EXTREMUM-SEEKING ; NEURAL-NETWORKS ; IDENTIFICATION |
WOS研究方向 | Automation & Control Systems ; Computer Science ; Operations Research & Management Science |
语种 | 英语 |
WOS记录号 | WOS:000532472400001 |
资助机构 | China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2019M661157] ; Self-planned Project of the State Key Laboratory of Robotics [2019-Z12] ; Natural Science Foundation of Liaoning ProvinceNatural Science Foundation of Liaoning Province [20180540131] |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/26863] ![]() |
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 | 1.Institutes of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China |
推荐引用方式 GB/T 7714 | Zhang B,Zhao XG. Robust indirect adaptive sliding model control for Wiener nonlinear systems[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,2020,51(7):1307-1323. |
APA | Zhang B,&Zhao XG.(2020).Robust indirect adaptive sliding model control for Wiener nonlinear systems.INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE,51(7),1307-1323. |
MLA | Zhang B,et al."Robust indirect adaptive sliding model control for Wiener nonlinear systems".INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 51.7(2020):1307-1323. |
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