基于遗传算法的H_∞系统降阶方法  

REDUCED ORDER MODELING IN H∞ CRITERION BASED ON GENETIC ALGORITHMS

作　　者：吴涛[1] 于军琪[1] 黄永宣[1] 胡保生[1] 

机构地区：[1]西安交通大学,西安710049

出　　处：《模式识别与人工智能》2000年第4期462-465,共4页Pattern Recognition and Artificial Intelligence

摘　　要：提出了基于H_∞范数的系统降阶准则,并且利用遗传算法实现了基于该准则的系统降阶。这一方法的提出避免了传统方法的缺点,降阶系统达到了非常理想的性能。通过例子表明,该降阶方法优于目前普遍使用的其它降阶方法。The reduced order modeling, which is in H∞ norm criterion, is put forward, and the method to resolve it based on genetic algorithms is obtained. This new method can prevent the disadvantages of other traditional techniques and the characters of the reduced order system are ideal. An example is given to show that this method is better than others.

关 键 词：遗传算法 H∞范数 系统降阶 H∞控制 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]