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Intelligent control: a stochastic optimization based adaptive fuzzy approach

Intelligent Control: A Stochastic Optimization-Based Adaptive Fuzzy Approach" by Kaushik Das Sharma, Amitava Chatterjee, and Anjan Rakshit is a comprehensive guide to intelligent control systems using a stochastic optimization-based adaptive fuzzy approach.

The book starts with an introduction to intelligent control systems and their applications, followed by an overview of fuzzy logic and its applications in control systems. The authors then cover various optimization techniques such as genetic algorithms, particle swarm optimization, and simulated annealing, which are used to optimize fuzzy control systems.

The latter part of the book delves into the stochastic optimization-based adaptive fuzzy approach, which combines the advantages of stochastic optimization and fuzzy logic to create a robust and adaptive control system. The authors cover various adaptive fuzzy control techniques such as direct adaptive fuzzy control, indirect adaptive fuzzy control, and adaptive fuzzy sliding mode control.

The book also includes case studies and examples that demonstrate the effectiveness of the stochastic optimization-based adaptive fuzzy approach in various control systems such as robotics, power systems, and industrial processes.

Overall, "Intelligent Control: A Stochastic Optimization-Based Adaptive Fuzzy Approach" is a great resource for anyone who is interested in learning about intelligent control systems using fuzzy logic and stochastic optimization techniques. The book provides a comprehensive overview of the subject and includes practical examples and case studies that demonstrate the effectiveness of the approach in various control systems.
Call no. : 006.3 D229

Từ khóa: Computational intelligence, Control engineering, Mathematical optimization, Mechatronics, Optical data processing, Probabilities, Robotics, Chatterjee, Amitava, Rakshit, Anjan.

13 p ovanketv4 09/05/2023 240 1

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