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

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.

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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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