Intelligent Control - A Stochastic Optimization Based Adaptive Fuzzy Approach (Hardcover, 1st ed. 2018)

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Cognitive Intelligence and Robotics
Release date:	September 2018
First published:	2018
Authors:	Kaushik Das Sharma • Amitava Chatterjee • Anjan Rakshit
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	302
Edition:	1st ed. 2018
ISBN-13:	978-981-13-1297-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-13-1297-4
Barcode:	9789811312977

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