A Time/Space Separation Based 3D Fuzzy Modeling Approach for Nonlinear Spatially Distributed Systems
文献类型：期刊论文
| 作者 | Xian-Xia Zhang; Zhi-Qiang Fu; Shao-Yuan Li; Tao Zou; Bing Wang |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2018 |
| 卷号 | 15期号:1页码:52-65 |
| 关键词 | Spatially distributed system (SDS) system identification 3D fuzzy system Karhunen-Love decomposition particle swarm optimization (PSO). |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-017-1080-0 |
| 英文摘要 | Spatially distributed systems (SDSs) are usually infinite-dimensional spatio-temporal systems with unknown nonlinearities.Therefore, to model such systems is difficult. In real applications, a low-dimensional model is required. In this paper, a time/space separation based 3D fuzzy modeling approach is proposed for unknown nonlinear SDSs using input-output data measurement. The main characteristics of this approach is that time/space separation and time/space reconstruction are fused into a novel 3D fuzzy system. The modeling methodology includes two stages. The first stage is 3D fuzzy structure modeling which is based on Mamdani fuzzy rules. The consequent sets of 3D fuzzy rules consist of spatial basis functions estimated by Karhunen-Love decomposition. The antecedent sets of 3D fuzzy rules are used to construct temporal coefficients. Going through 3D fuzzy rule inference, each rule realizes time/space synthesis. The second stage is parameter identification of 3D fuzzy system using particle swarm optimization algorithm. After an operation of defuzzification, the output of the 3D fuzzy system can reconstruct the spatio-temporal dynamics of the system. The model is suitable for the prediction and control design of the SDS since it is of low-dimension and simple nonlinear structure. The simulation and experiment are presented to show the effectiveness of the proposed modeling approach. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42391]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Institute of Automation, Shanghai Jiao Tong University, Shanghai 200240, China 3.Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics and Automation, Shanghai University, Shanghai 200072, China |
| 推荐引用方式 GB/T 7714 | Xian-Xia Zhang,Zhi-Qiang Fu,Shao-Yuan Li,et al. A Time/Space Separation Based 3D Fuzzy Modeling Approach for Nonlinear Spatially Distributed Systems[J]. International Journal of Automation and Computing,2018,15(1):52-65. |
| APA | Xian-Xia Zhang,Zhi-Qiang Fu,Shao-Yuan Li,Tao Zou,&Bing Wang.(2018).A Time/Space Separation Based 3D Fuzzy Modeling Approach for Nonlinear Spatially Distributed Systems.International Journal of Automation and Computing,15(1),52-65. |
| MLA | Xian-Xia Zhang,et al."A Time/Space Separation Based 3D Fuzzy Modeling Approach for Nonlinear Spatially Distributed Systems".International Journal of Automation and Computing 15.1(2018):52-65. |
入库方式： OAI收割
来源：自动化研究所
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