Title :
Balancing and model reduction for second-order form linear systems
Author :
Meyer, David G. ; Srinivasan, Sriram
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
fDate :
11/1/1996 12:00:00 AM
Abstract :
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 (1981). First, we examine second-order form model reduction by conversion to first-order form and obtain a complete solution 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 well-known first-order form balance and truncate model reduction method. Explicit algorithms are given throughout the paper
Keywords :
linear systems; reduced order systems; Gramians; I/O invariants; balance-and-truncate model reduction method; input/output invariants; second-order form linear systems; Approximation error; Differential equations; Distributed computing; Linear systems; Read only memory; Reduced order systems; Stability;
Journal_Title :
Automatic Control, IEEE Transactions on