Mixed integer programming based optimization of a class of hybrid systems

被引：0
|
作者：
Zhang, Ju [1 ,2 ]
Li, Ping [1 ]
机构：
[1] Inst. of Automat., Zhejiang Univ. of Technol., Hangzhou 310014, China
[2] Inst. of Indust. Proc. Control, Zhejiang Univ., Hangzhou 310027, China
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2002年 / 36卷 / SUPPL.期
关键词：
Computer simulation - Constraint theory - Discrete time control systems - Integer programming - Mathematical models - Optimization - Quadratic programming;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Based on the discrete time mixed logical dynamical (MLD) model of hybrid systems and on the mixed integer quadratic programming (MIQP), the optimization of a class of hybrid systems with states and inputs constraints was studied. The problem of constrained optimization of hybrid systems is transformed into an MIQP problem. Based on the Branch and Bound strategy, an MATLAB program is developed as MIQP solver. Finally, computer simulations are made. The simulation results show that the MIQP approach is an effective and promising method for the optimization of hybrid systems.
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页码：8 / 11
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