Titlebook: Intelligent Algorithms for Analysis and Control of Dynamical Systems; Rajesh Kumar,V. P. Singh,Akhilesh Mathur Book 2021 The Editor(s) (if

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Algorithms for Intelligent Systemshttp://image.papertrans.cn/i/image/469358.jpg

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978-981-15-8047-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Improving Transient Response of Cuk Converters Using Artificial Neural Network Based Controller, system. Hence, there is a necessity to design artificial intelligent tuning methods to get the desired output and address the issues with disturbances. In this regard, this chapter proposes the design of an artificial neural network-based controller for cuk converter control. The efficacy of the pr

Fester

Artificial Intelligent-Based Sliding Mode Controller for State Feedback Discrete-Time System, with the involvement of a human expert. In the proposed scheme, the error between plant and reference state is used to compute the error and error derivative, and a fuzzy law is developed. The proposed technique also brings in a systematic approach to the fuzzy logic control, thus overcoming lots o

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Costume

Fuzzy Logic Theory-Based PI Controller Tuning for Improved Control of Liquid Level System,d response from the system. There are many state-of-the-art methods available for tuning PID gains. However, picking a right method with respect to the given system is always a tough task. Besides, the classical methods cannot adjust the PID gains according to the disturbance. These problems are add

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Modeling and Optimization of Surface Roughness in Machining of Brass Using Multi-linear Regression objective optimization. The regression models serve as candidate objective functions for the genetic algorithm, and the optimization is performed while subjecting the objective function to several experimental constraints. The optimization results reveal that the global minimum obtained using the se