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Computational Intelligence and Optimization Methods for Control Engineering

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Cover of 'Computational Intelligence and Optimization Methods for Control Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Control Engineering from Classical to Intelligent Control Theory—An Overview
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    Chapter 2 Main Metaheuristics Used for the Optimization of the Control of the Complex Systems
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    Chapter 3 Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms
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    Chapter 4 Fuzzy and Neuro-fuzzy Control for Smart Structures
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    Chapter 5 Computational Intelligence in the Desalination Industry
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    Chapter 6 Control of Complex Biological Systems Utilizing the Neural Network Predictor
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    Chapter 7 A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems
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    Chapter 8 Distributed Optimization Based Control on the Example of Microgrids
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    Chapter 9 Coherency Estimation in Power Systems: A Koopman Operator Approach
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    Chapter 10 Appliance Identification Through Nonintrusive Load Monitoring in Residences
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    Chapter 11 Management Suggestions for Process Control of Semiconductor Manufacturing: An Operations Research and Data Science Perspective
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    Chapter 12 Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles
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    Chapter 13 Disturbance Rejection Run-to-Run Controller for Semiconductor Manufacturing
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    Chapter 14 Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Buses
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