An effcient iterative approach for dynamic output feedback robust model predictive control
文献类型:会议论文
作者 | Yang, Yuanqing4; Zou T(邹涛)2; Ping, Xubin1; Hu, Jianchen4; Ding, Baocang4; Wang, Yong4; Zhao, Jun3; Xu, Zuhua3 |
出版日期 | 2019 |
会议日期 | June 9-12, 2019 |
会议地点 | Kitakyushu-shi, Japan |
页码 | 1283-1288 |
英文摘要 | The problem of dynamic output feedback robust model predictive control (MPC) for linear parameter varying (LPV) system with bounded disturbance is addressed. In the previous approaches, an inner iteration loop handles the mutual inverse Lyapunov matrices by applying the cone complementary approach, and an outer iteration loop minimizes the performance cost by iterating the inner loop. By utilizing a linearization method to handle the mutual inverse Lyapunov matrices, the new approach in this paper utilizes a single iteration loop to replace the double iteration loops in the previous approach, so that the computational burden can be greatly reduced. The recursive feasibility and closed-loop stability are guaranteed. A numerical example is given to illustrate the effectiveness of the proposed approach. |
源文献作者 | City of Kitakyushu ; Kakenhi ; Kitakyushu Convention and Visitors Association |
产权排序 | 2 |
会议录 | 2019 12th Asian Control Conference, ASCC 2019 |
会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-4-88898-300-6 |
WOS记录号 | WOS:000490720700224 |
源URL | [http://ir.sia.cn/handle/173321/25390] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Ding, Baocang |
作者单位 | 1.School of Electro-Mechanical Engineering, Xidian University, Xi'an 710071, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.National Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China 4.Department of Automation, School of Electronic and Information Engineering, Xi'An Jiaotong University, Xi'an 710049, China |
推荐引用方式 GB/T 7714 | Yang, Yuanqing,Zou T,Ping, Xubin,et al. An effcient iterative approach for dynamic output feedback robust model predictive control[C]. 见:. Kitakyushu-shi, Japan. June 9-12, 2019. |
入库方式: OAI收割
来源:沈阳自动化研究所
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