Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2018
Genre:	Naturwissensch., Medizin, Technik
	Automatic control engineering / B / Computational Intelligence / computer science / Computer Vision / Control engineering / Control, Robotics, Automation / Control, Robotics, Mechatronics / Electronic devices & materials / Image processing / Image Processing and Computer Vision / Mathematical optimization / Mechatronics / Optical data processing / Optimization / Probabilities / Probability & statistics / Probability Theory / Probability Theory and Stochastic Processes / Robotics / Stochastics mehr...
ISBN:	9789811312977
EAN-Code:	9789811312977
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Cognitive Intelligence and Robotics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	647 gr
Seiten:	302
Illustration:	XVI, 302 p. 159 illus., 146 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.