Titlebook: Advances in Robust Control and Applications; Nabil Derbel,Ahmed Said Nouri,Quanmin Zhu Textbook 2023 The Editor(s) (if applicable) and The

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https://doi.org/10.1007/978-981-99-3463-8Control; Dynamical Systems, Control; Mathematical Modeling and Industrial Mathematics; Complex Systems;

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expeditious

Unal Ufuktepe,Burcin Kulahcioglu,Gizem Yuce robot with two degrees of freedom controlled by a Model Free Terminal Sliding Mode with Gravity Compensation (MFTSMGC) algorithm. The objective is to develop a new dynamic model of the exoskeleton interacted with the human upper limb then to control the flexion/extension movement of the shoulder an

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Yeliz Karaca,Carlo Cattani,Majaz Moonissed in last two decades. One of the fundamental issue in works of rehabilitation robotic devices is the modeling and controlling of lower limb Rehabilitation using suitable and efficient methods. In this chapter, a comparative study has been established between a two computed torque controllers: Cla

牲畜栏

Funda Dökmen,Zafer Aslan,Ahmet Tokgözlütion via polynomial Tackagi-Seguno (T-S) Fuzzy model based control approach. In order to optimize the installation cost, an output feedback controller is designed which reduce the number of sensors of current and voltage required. In addition, the problem of input saturation (duty cycle) is addresse

作呕

Yeliz Karaca,Carlo Cattani,Majaz Moonisered the development of hybrid microgrids that consist of renewable energy sources of both the AC and the DC type. To make such microgrids exploitable the related control, stabilization and synchronization problems have to be treated. The chapter proposes a nonlinear optimal control method for a hyb

小淡水鱼

Lecture Notes in Computer Scienceh torque and power as well as in transportation systems (for the traction of trains and electric vehicles). In this chapter a nonlinear optimal control method is proposed for voltage source inverter-fed asynchronous (induction) motors (VSI-fed IM). Approximate linearization is performed on the nonli