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A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devices

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dc.creator RewieÅ ski, MichaÅ
dc.date 2003-12-23T03:26:54Z
dc.date 2003-12-23T03:26:54Z
dc.date 2002-01
dc.date.accessioned 2013-10-09T02:33:49Z
dc.date.available 2013-10-09T02:33:49Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/4020
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description In this paper we present an approach to the nonlinear model reduction based on representing the nonlinear system with a piecewise-linear system and then reducing each of the pieces with a Krylov projection. However, rather than approximating the individual components to make a system with exponentially many different linear regions, we instead generate a small set of linearizations about the state trajectory which is the response to a 'training input'. Computational results and performance data are presented for a nonlinear circuit and a micromachined fixed-fixed beam example. These examples demonstrate that the macromodels obtained with the proposed reduction algorithm are significantly more accurate than models obtained with linear or the recently developed quadratic reduction techniques. Finally, it is shown tat the proposed technique is computationally inexpensive, and that the models can be constructed 'on-the-fly', to accelerate simulation of the system response.
dc.description Singapore-MIT Alliance (SMA)
dc.format 340964 bytes
dc.format application/pdf
dc.language en_US
dc.relation High Performance Computation for Engineered Systems (HPCES);
dc.subject nonlinear model reduction
dc.subject piecewise-linear approach
dc.subject Krylov projection
dc.subject nonlinear circuits
dc.subject micromachined devices
dc.title A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devices
dc.type Article


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