Titlebook: Computational Intelligence and Optimization Methods for Control Engineering; Maude Josée Blondin,Panos M. Pardalos,Javier Sanch Book 2019

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DEFER

Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms,conventional controllers like PID are designed, so that the desired performance is reached only by adjusting the controller parameters; this adjustment mechanism is called tuning. Even many approaches are proposed for tuning; still, it remains one of the problems of control theory due to the imperfe

思想靈活

Fuzzy and Neuro-fuzzy Control for Smart Structures,uncertainties. Especially in smart structures, which is the case here, a significant degree of uncertainty is involved due to several imperfections and/or errors of both the controller and the structure itself. For example, in structures with multiple layers, several failures may appear, such as del

ingenue

Computational Intelligence in the Desalination Industry,ld of water desalination—on the employment of computational intelligence (CI) systems in this technological field. The main goal of the proposals put forward has been to tackle the high degree of complexity involved in the different processes that can be found in the desalination industry. The wide

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Control of Complex Biological Systems Utilizing the Neural Network Predictor,inties. Because a lot of data are collected in modern systems, a data-driven approach can be employed to design intelligent control algorithms. Specifically, machine learning can be used to take advantage of the available datasets and predict the behavior of the system for improved design and perfor

Cholecystokinin

A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems,quitous information sensing and processing, intelligent machine-to-machine communication for a seamless coordination, as well as intelligent interactions between humans and machines. This chapter presents a control-theoretical framework to model heterogeneous physical dynamic systems, information an

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Innovative

Coherency Estimation in Power Systems: A Koopman Operator Approach,rch and understanding of the impact of the non-synchronous generation through back-to-back Full Rated Converters’ (FRCs) on power system’s coherency is a matter of importance. Coherency behavior under the presence of large inclusion of non-synchronous generation requires more research, in order to u

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