Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm
文献类型：期刊论文
| 作者 | Song, Chonghui1; Ye, Jinchun2; Liu, Derong3,4; Kang, Qi5 |
| 刊名 | IEEE TRANSACTIONS ON FUZZY SYSTEMS
 |
| 出版日期 | 2009-12-01 |
| 卷号 | 17期号:6页码:1336-1352 |
| 关键词 | Dynamic programming fuzzy systems numerical methods parallel processing receding horizon control (RHC) |
| 英文摘要 | The optimal control of fuzzy systems with constraints is still an open problem. Our focus concerns the optimal control problem of fuzzy systems derived from receding horizon control (RHC) schemes. We consider methods to numerically compute the value function for general fuzzy systems. The numerical method that is developed using the finite difference with sigmoidal transformation is a stable and convergent algorithm for the Hamilton Jacobi-Bellman (HJB) equation. An optimization procedure is developed to increase the calculation accuracy with less computation time. A parallel-processing method is employed in the optimization procedure. The optimization results are applied to the controller design of general fuzzy dynamic systems. Employing the principle of conventional RHC schemes, RHC-form controllers are designed for some classes of fuzzy dynamic systems. The basic ideas are as follows. First, the value function is calculated by numerical methods. Then, the value function is used as controller-design parameters to redesign RHC controllers for fuzzy systems, which is motivated by the inverse Lyapunov function design method. It is proven that the closed-loop system is asymptotically stable. An engineering implementation of the controller redesign scheme is discussed. Meanwhile, the parallel-processing framework that can improve the closed-loop performance is also introduced. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | MODEL-PREDICTIVE CONTROL ; GLOBAL CONCEPT APPROACH ; NONLINEAR-SYSTEMS ; DESIGN ; STABILIZATION ; ROBUSTNESS ; STABILITY ; FUTURE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000272319000009 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3562]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 作者单位 | 1.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China 2.CTC Holdings, Chicago, IL 60604 USA 3.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 4.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA 5.Tongji Univ, Coll Elect & Informat Engn, Shanghai 200092, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Chonghui,Ye, Jinchun,Liu, Derong,et al. Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS,2009,17(6):1336-1352. |
| APA | Song, Chonghui,Ye, Jinchun,Liu, Derong,&Kang, Qi.(2009).Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm.IEEE TRANSACTIONS ON FUZZY SYSTEMS,17(6),1336-1352. |
| MLA | Song, Chonghui,et al."Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm".IEEE TRANSACTIONS ON FUZZY SYSTEMS 17.6(2009):1336-1352. |
入库方式： OAI收割
来源：自动化研究所
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