Intelligent Control A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms /

measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected

as machine vision topics. Illustrative diagrams, circuits and programming examples and algorithms

, including control, robotics, decision-making, optimization and algorithms and with backgrounds in aerospace

Applications on Smart Grids -- Control Through Genetic Algorithms -- Knowledge-Based Intelligent Process

, methods, algorithms and applications of NCSs.

, manufacturing systems, and distributed algorithms. An architectural approach is adopted to apply localization to

approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and

algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control

information on submodular functions, matroids, and submodular optimization, and presents algorithms for

Super-Twisting Algorithm -- Global Multivariable Hybrid Estimator for Non uniform Relative Degree Systems with

control law are given. Algorithms for implicit and explicit interpolating control are presented in such a