A Nash Game Approach to Mixed H2/H∞ Model Predictive Control: Part 3 – Output Feedback Case
文献类型：期刊论文
| 作者 | Pakkiriswamy Aadaleesan; Prabirkumar Saha |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2018 |
| 卷号 | 15期号:5页码:616-624 |
| 关键词 | Robust model predictive control mixed H2/H∞ control Nash game output feedback model predictive control (MPC) automatic differentiation fragility of controller. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-016-0969-3 |
| 英文摘要 | In this paper, the state-feedback Nash game based mixed H2/H∞ design[1, 2] has been extended for output feedback case. The algorithm is applied to control bioreactor system with a Laguerre-Wavelet Network (LWN)[3, 4] model of the bioreactor. This is achieved by using the LWN model as a deviation model and by successively linearising the deviation model along the state trajectory. For reducing the approximation error and to improve the controller performance, symbolic derivation algorithm, viz.,automatic differentiation is employed. A cautionary note is also given on the fragility of the output feedback mixed H2/H∞ model predictive controller[4, 5] due to its sensitivity to its own parametric changes. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42438]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India |
| 推荐引用方式 GB/T 7714 | Pakkiriswamy Aadaleesan,Prabirkumar Saha. A Nash Game Approach to Mixed H2/H∞ Model Predictive Control: Part 3 – Output Feedback Case[J]. International Journal of Automation and Computing,2018,15(5):616-624. |
| APA | Pakkiriswamy Aadaleesan,&Prabirkumar Saha.(2018).A Nash Game Approach to Mixed H2/H∞ Model Predictive Control: Part 3 – Output Feedback Case.International Journal of Automation and Computing,15(5),616-624. |
| MLA | Pakkiriswamy Aadaleesan,et al."A Nash Game Approach to Mixed H2/H∞ Model Predictive Control: Part 3 – Output Feedback Case".International Journal of Automation and Computing 15.5(2018):616-624. |
入库方式： OAI收割
来源：自动化研究所
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