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Intelligent Control - A Stochastic Optimization Based Adaptive Fuzzy Approach (Hardcover, 1st ed. 2018)
Loot Price: R4,780
Discovery Miles 47 800
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Intelligent Control - A Stochastic Optimization Based Adaptive Fuzzy Approach (Hardcover, 1st ed. 2018)
Series: Cognitive Intelligence and Robotics
Expected to ship within 10 - 15 working days
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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.
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