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Liu, J.F., Munoz de la Pena, D. and Christofides, P.D. (2010) Distributed Model Predictive Control of Nonlinear Process Systems Subject to Asynchronous and Delayed Measurements. Automatica, 46, 52-61. https://doi.org/10.1016/j.automatica.2009.10.033

has been cited by the following article:

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

  AUTHORS: Baili Su, Yingzhi Wang

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

  JOURNAL NAME: Applied Mathematics, Vol.8 No.12, December 29, 2017

  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.