Textbook in PDF format

This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.
Table of contents 
Control Engineering from Classical to Intelligent Control Theory—An Overview
Main Metaheuristics Used for the Optimization of the Control of the Complex Systems
Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms
Fuzzy and Neuro-fuzzy Control for Smart Structures
Computational Intelligence in the Desalination Industry
Control of Complex Biological Systems Utilizing the Neural Network Predictor
A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems
Distributed Optimization Based Control on the Example of Microgrids
Coherency Estimation in Power Systems: A Koopman Operator Approach
Appliance Identification Through Nonintrusive Load Monitoring in Residences
Management Suggestions for Process Control of Semiconductor Manufacturing: An Operations Research and Data Science Perspective
Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles
Disturbance Rejection Run-to-Run Controller for Semiconductor Manufacturing
Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Buses