Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6486
Title: LINEAR SYSTEM REDUCTION FOR MULTI VARIABLE SYSTEMS
Authors: Kumar, Rajesh
Keywords: ELECTRICAL ENGINEERING
LINEAR SYSTEM REDUCTION
MULTI VARIABLE SYSTEMS
MULTIPLE-INPUT MULTIPLE-OUTPUT SYSTEM
Issue Date: 1993
Abstract: It is a well established fact that the complexity of physical systems make their exact analysis a rather difficult and possibly a non-desirable task, mainly due to the difficult economic and computational consider.atio-ns -involved. This makes apparent the need for using model order reduction methods to obtain adequate reduced order model (s) which constitute a good approximation of the original system. In the last two decades many suitable reduction (or approximatiion) methods have been developed for high-order state-space models, or high-degree transfer functions of large-scale, linear, time-invariant, single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems. When the model reduction methods are applied to the state-space model formulatiion of the system they are called `time-domain order reduction methods', whereas when applied to the transfer function model formulation of the system they are called `frequency-domain order reduction methods' 1.2 Applications of Reduced
URI: http://hdl.handle.net/123456789/6486
Other Identifiers: M.Tech
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

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