Order reduction of linear systems using an error minimization technique
From MaRDI portal
Publication:1085115
DOI10.1016/0016-0032(87)90037-8zbMath0606.93011OpenAlexW1978711042MaRDI QIDQ1085115
Publication date: 1987
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0016-0032(87)90037-8
Linear systems in control theory (93C05) Synthesis problems (93B50) Eigenvalues, singular values, and eigenvectors (15A18) Large-scale systems (93A15)
Related Items (16)
Linear time invariant system order reduction using multipoint step response matching ⋮ Order reduction of linear time-invariant systems using Eigen permutation and Jaya algorithm ⋮ Reduced order modelling of linear multivariable systems using an error minimization technique ⋮ System reduction using factor division algorithm and eigen spectrum analysis ⋮ Power law-based local search in spider monkey optimisation for lower order system modelling ⋮ A fast adaptive model reduction method based on Takenaka-Malmquist systems ⋮ Model reduction by minimization of integral square error performance indices ⋮ On order reduction of linear systems using an error minimization technique ⋮ Genetic algorithm approach with frequency selectivity for model order reduction of MIMO systems ⋮ System reduction using eigen spectrum analysis and Padé approximation technique ⋮ A meta-heuristic cuckoo search and eigen permutation approach for model order reduction ⋮ A novel order diminution of LTI systems using big bang big crunch optimization and Routh approximation ⋮ Model order reduction using response-matching technique ⋮ Modified Eigen Permutation-Based Model Simplification of LTI Systems Using Evolutionary Algorithm ⋮ A Mixed Approach for Model Reduction Using Differential Evolution and Eigen Permutation ⋮ Fractional-order IMC controller for high-order system using reduced-order modelling via Big-Bang, Big-Crunch optimisation
Cites Work
This page was built for publication: Order reduction of linear systems using an error minimization technique