Mixed H2/H∞ optimal control based on multiobjective evolutionary algorithm
Author(s): MA Qingliang, HU Changhua
Pages: 699-701,706
Year: 2004 Issue: 6
Journal: CONTROL AND DECISION
Keyword: H2/H∞控制; 多目标进化算法; 状态反馈; 线性矩阵不等式;
Abstract: 提出一种用于混合H2/H∞优化控制的多目标进化算法.为加快算法的收敛进程,将LMI方法的优化结果作为初始代种群,并采用群体排序、小生境和最优保留等关键技术.仿真结果表明,与LMI方法相比,多目标进化算法的优化结果具有更小的保守性.
Pages: 699-701,706
Year: 2004 Issue: 6
Journal: CONTROL AND DECISION
Keyword: H2/H∞控制; 多目标进化算法; 状态反馈; 线性矩阵不等式;
Abstract: 提出一种用于混合H2/H∞优化控制的多目标进化算法.为加快算法的收敛进程,将LMI方法的优化结果作为初始代种群,并采用群体排序、小生境和最优保留等关键技术.仿真结果表明,与LMI方法相比,多目标进化算法的优化结果具有更小的保守性.
Citations
- LQG control with an H∞ performance bound:A Riccati equation approach BERNSTEIN D S IEEE Transactions on Automatic Control
- LMI-based controller synthesis:A unified formulation and solution Masubuchi I International Journal of Robust and Nonlinear Control
- Multiobjective output-feedback control via LMI optimization SCHERER C IEEE Transactions on Automatic Control
- A genetic approach to mixed H2/H∞ optimal PID control Chen B S IEEE Control Systems Magazine
- Multiobjective H2/H∞ guaranteed cost PID design TAKAHASHI R H C IEEE Control Systems Magazine
- A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ Deb K IEEE Transactions on Evolutionary Computation
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