Titlebook: Complex System Modelling and Control Through Intelligent Soft Computations; Quanmin Zhu,Ahmad Taher Azar Book 2015 Springer International

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傀儡

A Rough Set Based Total Quality Management Approach in Higher Education, literature survey and expert views which are subsequently treated with RST analysis. One decision parameter ‘Grade’ depends on nine independent condition attributes. The resultant model contains only two significant attributes namely, ‘Effective Learning and Teaching’ and ‘Administrative Setup’ whi

遭遇

Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched iterative dual rational Krylov is low in cost, numerically efficient but the stability of reduced linear switched system is not always guaranteed. In the second part, the iterative SVD-Dual Rational Krylov approach is presented. This method is a combining of two sided-projections, one side is genera

CAMP

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Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Aas optimal performance. This method contains a Multi-Layer Perceptron (MLP) Neural Network (NN) (MLPNN) and a Fuzzy Rule extraction from a Trained Artificial Neural Network using Genetic Algorithm (FRENGA). Proposed Hybrid method recognizes disturbance wind with sensors and it generates desired pitc

placebo-effect

Eclampsia

nonradioactive

https://doi.org/10.1007/978-3-322-86258-7g challenging prominent benchmark problems including FON, ZDT1, ZDT2, ZDT3, Sphere, Schwefel 2.22, Schwefel 1.2, Rosenbrock, Noise, Step, Rastrigin, Griewank, Ackley and especially the design of the parameters of linear feedback control for a parallel-double-inverted pendulum system which is a compl

Feature

https://doi.org/10.1007/978-3-322-86258-7ring in the tracking errors dynamics and uncertainties are reasonably approximated by adaptive fuzzy systems. A rigorous stability analysis based on Lyapunov theory is performed to guarantee that the complete control system is asymptotically stable. Furthermore, numerical simulation results are prov