A new algorithm for L2 optimal model reduction
Automatica (Journal of IFAC)
Characterization of the solution to the optimal H∞ model reduction problem
Systems & Control Letters
Optimal H∞ model reduction via linear matrix inequalities: continuous- and discrete-time cases
Systems & Control Letters
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Designing a hierarchical fuzzy logic controller using the differential evolution approach
Applied Soft Computing
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
An adaptive fuzzy neural network for MIMO system modelapproximation in high-dimensional spaces
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The Chebyshev-polynomials-based unified model neural networks forfunction approximation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A reduction approach for fuzzy rule bases of fuzzy controllers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Approximation Modeling for the Online Performance Management of Distributed Computing Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Optimal approximation of linear systems by a differential evolution algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Design of Optimal Controllers for Takagi–Sugeno Fuzzy-Model-Based Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Stable and Quadratic Optimal Control for TS Fuzzy-Model-Based Time-Delay Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
L2 Model reduction and variance reduction
Automatica (Journal of IFAC)
Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm
IEEE Transactions on Neural Networks
An evolutionary approach for worst-case tolerance design
Engineering Applications of Artificial Intelligence
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A Taguchi-sliding-based differential evolution algorithm (TSBDEA) is proposed in this study to solve the problem of optimally approximating linear systems. The TSBDEA is an approach of combining the differential evolution algorithm (DEA) with the Taguchi-sliding-level-method (TSLM). In the TSBDEA, the TSLM is to provide a new systematic crossover operation for breeding better offspring, and consequently enhances the DEA. By using the proposed TSBDEA, the optimal approximate rational model with/without a time delay for a system described by its rational or irrational transfer function is sought such that an error criterion is minimized. Numerical examples show that the presented TSBDEA gives an effective and robust way for obtaining optimal reduced-order models for stable/unstable and/or nonminimum-phase complex systems, and can get better results than the existing DEA-based method reported in the literature.