Optimal control of a class of nonlinear systems: mixed integer programming based approach

Authors:
Ju Zhang;Wanliang Wang
Affiliations:
Institute of Automation, Zhejiang University of Technology, Hangzhou, China;Institute of Automation, Zhejiang University of Technology, Hangzhou, China
Venue:
ROCOM'06 Proceedings of the 6th WSEAS international conference on Robotics, control and manufacturing technology
Year:
2006

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Abstract

A mixed integer programming based approach for optimal control of a class of nonlinear systems with typical non-smooth and even discontinuous components is presented. Firstly, a model denoted as General Linear System Model (GLSM), which can be used to describe accurately a wide range of nonlinear systems with typical nonlinear components, is established. Secondly, based on GLSM, mixed integer predictive control (MIPC) approach for optimal regulation and tracking problems is studied. At the end of the paper, numerical simulations are presented. Simulation results show that approach developed in this paper is suitable and effective.