Titlebook: Sliding-Mode Fuzzy Controllers; Mojtaba Ahmadieh Khanesar,Okyay Kaynak,Erdal Kayac Book 2021 Springer Nature Switzerland AG 2021 Boundary

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Mojtaba Ahmadieh Khanesar,Okyay Kaynak,Erdal KayacanThis book brings together contributions from some of the leading international experts in translation and self-translation, and it will be of interest to scholars and students in the fields of Translation Studi978-3-030-23627-4978-3-030-23625-0Series ISSN 2523-8701 Series E-ISSN 2523-871X

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2198-4182 ding MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;.• a short bibliography for each chapter for readers interested in learning more on a par978-3-030-69184-4978-3-030-69182-0Series ISSN 2198-4182 Series E-ISSN 2198-4190

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Rule-Based Sliding-Mode Fuzzy Logic Control,certainties, lack of modeling, and operational disturbances in a control system using expert knowledge. In this chapter, rule-based sliding mode fuzzy logic controllers are designed to control the system despite imprecisions and uncertainties.

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Adaptive Sliding-Mode Fuzzy Control Systems: Gradient Descent Method,local minimum for a nonlinear function, this algorithm uses the initial parameters of the nonlinear function and updates these parameters in the negative direction of the gradient of the function with respect to the parameters. In this chapter, adaptive fuzzy control design procedure using the parti

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Adaptive Sliding-Mode Fuzzy Control Systems: Lyapunov Approach,liding- mode controller is necessity to have the nominal dynamics of the system. This requires a series of modeling prior to the control of the system. Fuzzy logic systems as general function approximators are used to deal with un-modeled dynamics of the system. Lyapunov stability analysis method is

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Adaptive Network Sliding-Mode Fuzzy Logic Control Systems, detection procedures. Most of these drawbacks may impose heavy costs on the maintenance of the control system. These disadvantages have given rise to the development of NCSs. In a network-based control system, sensors, actuators, controllers, human–machine interfaces, and other possible components

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Sliding-Mode Fuzzy Logic Teleoperation Controllers,in hazardous and unreachable areas are crucial and inevitable; examples of such areas are complex and challenging tasks in disaster areas, space robotic applications, remotely operated vehicles (e.g., deep ocean robotics), and remote surgery applications. This chapter deals with sliding mode fuzzy l

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