Artificial neural network for discrete model order reduction with substructure preservation

DOI10.1016/j.apm.2011.03.028zbMath1225.93031OpenAlexW2027666463MaRDI QIDQ646235

Adnan M. Al-Smadi, Othman M. K. Alsmadi, Zaer. S. Abo-Hammour

Publication date: 11 November 2011

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2011.03.028

zbMATH Keywords

discrete systemsartificial neural networksstate space modelstransfer functionsmodel order reduction

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) System structure simplification (93B11) Applications of difference equations (39A60)

Related Items (2)

\(H_\infty\) model reduction for port-controlled Hamiltonian systems ⋮ A model-order reduction method based on wavelets and POD to solve nonlinear transient and steady-state continuation problems

Cites Work

• Unnamed Item
• Discrete system order reduction using multipoint step response matching
• Model reduction by minimization of integral square error performance indices
• Model reduction using the stability-equation method and the Padé approximation method
• Accuracy-enhancing methods for balancing-related frequency-weighted model and controller reduction.
• System reduction using factor division algorithm and eigen spectrum analysis
• Stable reduced-order models using Padé-type approximations
• A Schur method for balanced-truncation model reduction
• Model order reduction using neural network principal component analysis and generalized dimensional analysis
• Balanced truncation model reduction of second-order systems
• Approximation of Large-Scale Dynamical Systems

This page was built for publication: Artificial neural network for discrete model order reduction with substructure preservation