Sampled-Data Adaptive Control of Linear Continuous Switched Systems with Stochastic Disturbance
This paper studies the optimal control problem of sampled-data based control of linear continuous switched systems with stochastic disturbance. The system under consideration is assumed to experience model switching consistently with unknown switching process. When the sampled step is small, adaptive estimation algorithm is derived and integrated with sampled feedback for control design. Moreover, there is little difference between conventional whole process state based LQ control and sampled data based LQ control, and the upper bound of error is obtained in this paper.
Switched system optimal control adaptive identification sampled data based adaptive control
Liu Feng Y.D. Song Ma Xiaoping
Center for Intelligent Systems and Renewable Energy, School of Electronics and Information Engineeri Center for Intelligent Systems and Renewable Energy, School of Electronics and Information Engineeri
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
1479-1483
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)