Balancing and model reduction for second-order form linear systems

被引:94
作者
Meyer, DG [1 ]
Srinivasan, S [1 ]
机构
[1] UNITED TECHNOL RES CTR,HARTFORD,CT
基金
美国国家科学基金会;
关键词
D O I
10.1109/9.544000
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Model reduction of second-order form linear systems is considered where a second-order form reduced model is desired, The focus is on reduction methods that employ or mimic Moore's balance and truncate. First, we examine second-order form model reduction by conversion to first-order form and obtain a complete solutiopgn for this problem, Then, new Gramians and input/output (I/O) invariants for second-order systems are motivated and defined, Based on these, direct second-order balancing methods are developed, This leads naturally to direct second-order form analogs for the web-known first-order form balance and truncate model reduction method. Explicit algorithms are given throughout the paper.
引用
收藏
页码:1632 / 1644
页数:13
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