Model Reduction of Weakly Nonlinear Systems

Model Reduction of Weakly Nonlinear Systems - SpringerLink

Model Reduction of Weakly Nonlinear Systems ... In general, model reduction techniques fall into two categories — moment —matching and Krylov techniques and ...

Chapter 1 MODEL REDUCTION OF WEAKLY NONLINEAR SYSTEMS

project the system onto a reduced system. Also sparse linear solvers and. Page 2. 2. Model Reduction of Weakly Nonlinear Systems iterative approaches can be ...

Projection frameworks for model reduction of weakly nonlinear ...

Projection frameworks for model reduction of weakly nonlinear systems. Joel R. Phillips. Cadence Berkeley Laboratories, San Jose, CA 95134. Abstract. In this ...

Data-driven model reduction for weakly nonlinear systems: A summary

Data-driven model reduction for weakly nonlinear systems: A summary☆. Author links open overlay panel A.C. Antoulas 1 2 , I.V. Gosea 3. Show more.

Model Reduction of Weakly Nonlinear Systems - ResearchGate

While for weakly nonlinear systems, either approximation is satisfactory, it will be seen that the perturbative method has several advantages ...

NORM: compact model order reduction of weakly nonlinear systems

This paper presents a compact Nonlinear model Order Reduction Method (NORM) that is applicable for time-invariant and time-varying weakly nonlinear systems.

[PDF] Model Reduction of Weakly Nonlinear Systems | Semantic ...

In this contribution, an improved reduction method for weakly nonlinear systems is proposed and it will be seen that the perturbative method has several ...

Parameterized Model Order Reduction of Nonlinear Dynamical ... - MIT

For instance, the reduction of weakly non-linear systems has been shown using Volterra series and moment matching techniques [13],. [14], [15], [16], [17], [18] ...

Model Reduction of Weakly Nonlinear Systems - Research Repository

In general, model reduction techniques fall into two categories - moment -matching and Krylov techniques and balancing techniques.

Projection frameworks for model reduction of weakly nonlinear ...

Projection frameworks for model reduction of weakly nonlinear systems ; Article #: ; Date of Conference: 05-09 June 2000 ; Date Added to IEEE Xplore: 06 August ...

Projection frameworks for model reduction of weakly nonlinear ...

Projection frameworks for model reduction of weakly nonlinear systems. Author: Joel R. Phillips.

Model reduction of weakly nonlinear systems - DORAS

Model reduction of weakly nonlinear systems. Condon, Marissa and Grahovski, Georgi G. (2009) Model reduction of weakly nonlinear systems. In ...

Compact model order reduction of weakly nonlinear systems by ...

For computing slim projection matrices serving high-order Volterra transfer functions in the context of weakly nonlinear model order ...

[PDF] Projection-based approaches for model reduction of weakly ...

Projection-based approaches for model reduction of weakly nonlinear, time-varying systems ... A model order reduction for the model equations of nonlinear ...

Projection Frameworks for Model Reduction of Weakly Nonlinear ...

Projection Frameworks for Model Reduction of Weakly Nonlinear Systems. 2000, pp. 184-189,. DOI Bookmark: 10.1109/DAC.2000.855301. Keywords. Fault Modeling ...

Nonlinear Model Reduction - Chair of Automatic Control

At MORLab we also investigate model order reduction for special classes of nonlinear systems. More specifically, we focus on weakly nonlinear systems such as: ...

Model reduction of nonlinear systems - Wiley Online Library

The paper is concerned with the model reduction of nonlinear systems. ... [1] J.R. Phillips, Projection-based approaches for model reduction of weakly nonlinear, ...

(PDF) Model reduction of nonlinear systems - ResearchGate

[1] J.R. Phillips, Projection-based approaches for model reduction of weakly nonlinear, time-varying systems, IEEE Trans. on computer-aided design of integrated ...

Projection frameworks for model reduction of weakly nonlinear ...

Projection frameworks for model reduction of weakly nonlinear systems. 2000 ... Reduced Order Systems, Nonlinear Systems, Approximation Algorithms, Power System ...

Projection-based approaches for model reduction of weakly ...

Including effects of weak non- linearities generally can extend the range of accuracy beyond that achievable with linear models. Weakly nonlinear analysis is ...