Receding horizon estimation to networked control systems with multirate scheme. (English) Zbl 1182.93113
Summary: 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.
MSC:
| 93E10 | Estimation and detection in stochastic control theory |
| 93E25 | Computational methods in stochastic control (MSC2010) |
| 93C55 | Discrete-time control/observation systems |
Keywords:
networked control systems; multirate; network-induced time delays; receding-horizon; state estimationReferences:
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