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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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Title
Computational Intelligence and Optimization Methods for Control Engineering
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-25446-9
ISBNs
978-3-03-025445-2, 978-3-03-025446-9
Editors

Maude Josée Blondin, Panos M. Pardalos, Javier Sanchis Sáez

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Other 1 13%
Student > Master 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Engineering 4 50%
Computer Science 1 13%
Mathematics 1 13%
Unknown 2 25%