Stability of Multirate Sampled-data Control Systems Based on Model Estimation
This paper deals with the problem of the stability of multirate sampled-data state feedback control systems based on model estimation. In order to enlarge sampling periods while keep the system stable, a plant model was proposed, which had a similar structure to the actual plant. The state feedback control signal was generated based on the model state that approximated the plant dynamic state. Utilizing probability asymptotic stability theory, a new stability criterion was proposed. The proposed criterion gave a tolerance bound for long sampling periods. Since the occurrence frequency of sampling periods was taken into consideration, the proposed criterion gave a more general result than the existing ones. Numerical example and simulation results indicated that the method of model estimation was effective and the new stability criterion was less conservative.
multirate sampled-data model estimation stability
Shuqing Peng Xinling Shi Junhua Zhang Aimin Miao Enyong Wang
Electronic Engineering Department,School of Information Science and Engineering Yunnan University Kunming,China
国际会议
上海
英文
1420-1424
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）