| contributor author | Qin, Zhi-Chang | |
| contributor author | Sun, Jian-Qiao | |
| date accessioned | 2017-11-25T07:20:05Z | |
| date available | 2017-11-25T07:20:05Z | |
| date copyright | 2016/30/9 | |
| date issued | 2017 | |
| identifier issn | 1048-9002 | |
| identifier other | vib_139_01_011002.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4236183 | |
| description abstract | The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist a user to select an appropriate controller to implement is a postprocessing issue. In this paper, we develop a method of cluster analysis of the Pareto optimal designs to discover the similarity of the optimal controllers. After we identify the clusters of optimal controllers, we develop a switching strategy to select controls from different clusters to improve the performance. Numerical and experimental results show that the switching control algorithm is quite promising. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Cluster Analysis and Switching Algorithm of Multi-Objective Optimal Control Design | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 1 | |
| journal title | Journal of Vibration and Acoustics | |
| identifier doi | 10.1115/1.4034626 | |
| journal fristpage | 11002 | |
| journal lastpage | 011002-7 | |
| tree | Journal of Vibration and Acoustics:;2017:;volume( 139 ):;issue: 001 | |
| contenttype | Fulltext | |