Softly switched hybrid predictive control
Applications of Large Scale Industrial Systems, Volume # 1 | Part# 1
Jingsong Wang; Mietek A. Brdys
Digital Object Identifier (DOI)
predictive control,hybrid systems,mixed integer programming,constraints,stability analysis,supervisory control,sequential switching
In operational control of hybrid systems, control objectives often change with current operating conditions and switching among a number of control strategies is then inevitable. The proposed softly switched hybrid predictive control utilizes mixed integer programming techniques and achieves better switching transient performance both in system output/state and control input than the traditional hard switching method. Stability of the designed soft switching process is analysed and sufficient stabilization conditions are derived. Numerical examples with simulation results show that the proposed approach can be useful in practical applications.
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