The Design of Output Feedback Distributed Model Predictive Controller for a Class of Nonlinear Systems

Baili Su; Yingzhi Wang

doi:10.4236/am.2017.812131

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Applied Mathematics > Vol.8 No.12, December 2017

The Design of Output Feedback Distributed Model Predictive Controller for a Class of Nonlinear Systems ()

Baili Su, Yingzhi Wang

College of Engineering, Qufu Normal University, Rizhao, China.

DOI: 10.4236/am.2017.812131 PDF HTML XML 495 Downloads 795 Views

Abstract

For a class of nonlinear systems whose states are immeasurable, when the outputs of the system are sampled asynchronously, by introducing a state observer, an output feedback distributed model predictive control algorithm is proposed. It is proved that the errors of estimated states and the actual system's states are bounded. And it is guaranteed that the estimated states of the closed-loop system are ultimately bounded in a region containing the origin. As a result, the states of the actual system are ultimately bounded. A simulation example verifies the effectiveness of the proposed distributed control method.

Keywords

Nonlinear Systems, Distributed Model Predictive Control, State Observer, Output Feedback, Asynchronous Measurements

Share and Cite:

Su, B. and Wang, Y. (2017) The Design of Output Feedback Distributed Model Predictive Controller for a Class of Nonlinear Systems. Applied Mathematics, 8, 1832-1850. doi: 10.4236/am.2017.812131.

Conflicts of Interest

The authors declare no conflicts of interest.

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