EAN: 9789811312977

INTELLIGENT CONTROL - KAUSHIK DAS SHARMA AMITAV...

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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