Receding horizon estimation to networked control systems with multirate scheme |
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Authors: | YuanYuan Zou ShaoYuan Li |
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Affiliation: | (1) Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China |
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Abstract: | This paper investigates the problem of receding horizon state estimation for networked control systems (NCSs) with random
network-induced delays less than one sample period, which are formulated as multirate control systems. Based on a batch of
recent past slow rate measurements in a finite horizon window, the initial state estimation in this window is solved by minimizing
a receding-horizon objective function, and then the fast rate state estimations are calculated by the prediction of dynamic
equation to compensate for the network-induced time delays. Furthermore, convergence results and unbiasedness properties are
analyzed. An upper bound of estimation error is presented under the assumption of bounded disturbances acting on the system
and measurement equations. A simulation example shows the effectiveness of the proposed method.
Supported by the National Natural Science Foundation of China (Grant Nos. 60774015, 60674018, 60825302), the National High-Tech
Research & Development Program of China (Grant No. 2006AA04Z173), the Specialized Research Fund for the Doctoral Program of
Higher Education of China (Grant No. 20060248001), and partly by Shanghai Natural Science Foundation (Grant No. 07JC14016) |
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Keywords: | networked control systems multirate network-induced time delays receding-horizon state estimation |
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