Computational Intelligence and Optimization Methods for Control Engineering

Foreword.- Preface. - Control engineering from classical to intelligent control theory — An overview (Blondin, Sáez, Pardalos).- Main metaheuristics used for the optimization of the control of the complex systems (Borne, Gharbi).-&nbsp; Optimal controller parameter tuning from multi/many objective optimization algorithms (Altinoz).- Fuzzy and neuro-fuzzy control for smart structures (Tairidis, Stavroulakis).- Computational intelligence in the desalination industry (Cabrera, Carta).- Control of complex biological systems utilizing the neural network predictor (Bamgbose, Li, Qian).- A real-time big-data control-theoretical framework for cyber-physical-human systems (Gusrialdi, Xi, Qu, Simaan).- Distributed optimization based control on the example of microgrids (Braun, Sauerteig, Worthmann).- Coherency estimation in power systems: A Koopman operator approach (Chamorro, Ordonez, Peng, Gonzalez-Longatt, Sood).- Appliance identification through non-intrusive load monitoring in residences (Gogos, Georgiou).- Management suggestions for process control of semiconductor&nbsp; manufacturing: An operations research and data science perspective (Khakifirooz, Fathi, Chien, Pardalos).- Feedback control algorithms for the dissipation of traffic waves with autonomous vehicles (Monache, Liard, Rat, Stern, Bhadani, Seibold, Sprinkle, Work, Piccoli).- Disturbance rejection run-to-run controller for semiconductor manufacturing (Khakifirooz, Fathi, Pardalos).- Energy management improvement based on fleet learning for hybrid electric buses (López-Ibarra, Herrera, Milo, Gaztañaga, Camblong).<div><br></div><div>&nbsp; </div>