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REDUCED ORDER MODELS FOR ESTIMATION AND CONTROL
IFAC Proceedings Volumes, 1982Abstract Two methods are discussed for obtaining reduced order models suitable for specific design applications. The first yields a reduced model together with a reduced order Kaiman filter. The second yields a reduced order model together with a partial state-feedback control law.
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Reduced-Order Modeling of Flexible Structures
Journal of Guidance, Control, and Dynamics, 1988An alternate procedure for deriving a reduced-order model is presented. The Routh expansion method is used and preserves the original system impulse response energy. This procedure does not acquire knowledge of the system eigenvalues/eigenvectors and guarantees a stable reduced-order model if the original system is stable.
Ramakrishnan, Jayant V. +2 more
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Reduced order dynamical model for supercapacitors
2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control, 2010A novel dynamical model for a single cell electric double-layer capacitor is proposed. The model was derived from a distributed-parameter electrochemical model, first reformulated and then approximated to reduce its order. Finite dimension approximations were obtained by applying finite differences, finite element and differential quadrature ...
Aldo Romero-Becerril, Luis Alvarez-Icaza
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Reduced-order models for a smart plate
International Journal of Automation and Control, 2007A Single Input Single Output (SISO) state space model has been developed in MATLAB using a smart plate model realised in ANSYS?. The frequency response due to a unit force, for the full model as well as the reduced unsorted and sorted models was studied. DC gain is used as the criterion for sorting.
G. Jayaprasad, C. Sujatha
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Reduced‐order modelling of an adaptive mesh ocean model
International Journal for Numerical Methods in Fluids, 2008AbstractA novel proper orthogonal decomposition (POD) model has been developed for use with an advanced unstructured mesh finite‐element ocean model, the Imperial College Ocean Model (ICOM, described in detail below), which includes many recent developments in ocean modelling and numerical analysis.
Fang, F. +6 more
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Reduced Order Modelling — Methods and Constraints
2004There is growing attention for methods to reduce the state space dimension of a model, especially in the area of circuit simulation and electromagnetics. Applying these techniques to substructures which behave linearly or weakly non-linearly can dramatically speed up the computations in simulation of complex electronic structures.
Heres, P.J., Schilders, W.H.A.
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A reduced-order modeling of pattern formations.
CoRRChemical and biochemical reactions can exhibit surprisingly different behaviours from multiple steady-state solutions to oscillatory solutions and chaotic behaviours. Such behaviour has been of great interest to researchers for many decades. The Briggs-Rauscher, Belousov-Zhabotinskii and Bray-Liebhafsky reactions, for which periodic variations in ...
Hausenblas, Erika +1 more
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Reduced Order Models for Eigenvalue Problems
2006Two main approaches are known for the reduced order modelling of linear time-invariant systems: Krylov subspace based and SVD based approximation methods. Krylov subspace based methods have large scale applicability, but do not have a global error bound.
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Reduced-order Models for Coupled Problems
2010info:eu-repo/semantics ...
Filomeno Coelho, Rajan +5 more
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Reduced-Order Models for Nonlinear Unsteady Aerodynamics
AIAA Journal, 2000Two reduced-order modeling approaches for the evaluation of nonlinear aerodynamic forces based on CFD computations are presented. These reducedorder models (ROMs) provide a means for rapid calculation of frequency-domain generalized aerodynamic forces, which can be used in traditional flutter analysis scheme, to calculate flutter characteristics about ...
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