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Advances and Applications in Sliding Mode Control systems by Ahmad Taher Azar

By Ahmad Taher Azar

This publication describes the advances and purposes in Sliding mode regulate (SMC) that is commonplace as a robust solution to take on doubtful nonlinear platforms. The publication is geared up into 21 chapters which were organised via the editors to mirror a number of the issues of sliding mode regulate. The e-book presents the reader with a huge variety of fabric from first ideas as much as the present state-of-the-art within the quarter of SMC and commentary offered in a transparent, matter-of-fact sort. As such it's acceptable for graduate scholars with a uncomplicated wisdom of classical regulate concept and a few wisdom of state-space equipment and nonlinear structures. The ensuing layout approaches are emphasised utilizing Matlab/Simulink software.

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En: modern sliding mode control theory. Lecture notes in control and information sciences. : Dynamic compensator-based second-order sliding mode controller design for mechanical systems. : Adaptive sliding mode control of multi-input nonlinear systems with perturbations to achieve asymptotical stability. IEEE Trans Autom Control 54(12), 2863–2869 (2009) Cheng CC, Guo CZ (2010) Design of adaptive sliding mode controllers for systems with mismatched uncertainty to achieve asymptotic stability. : A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles.

Serrano system variables deterioration; this controller is very effective in order to cancel this unwanted effect. Even when this technique is efficient in cancelling the chattering effects in the system, this phenomenon is still present but with smaller negative results than classical sliding mode controllers. Therefore, the analysis of this phenomenon on the system is shown later in this chapter for comparison purposes with the other sliding mode controllers explained in this chapter. The intention of this section is to evince a combined sliding mode controller technique to understand and compare with the main controller derived in this chapter, then some interesting conclusions are obtained from all of these sliding mode control approaches, so all of these control strategies are developed to show different alternatives and as a preview and comparison with the proposed adaptive sliding mode controller explained in the next section.

En: nonlinear and optimal control theory. Lecture notes in mathematics. Springer, Berlin, pp 289–347 Xiang C, Siow SY (2004) Decentralized control of robotic manipulators with neural networks. In: Proceedings of the IEEE, 8th international conference on control, automation, robotics and vision kunming. China, Dec 2004 Yao B, Tomizuka M (1994) Smooth robust adaptive sliding mode control of manipulators with guaranteed transient performance. In: Proceedings of the IEEE American control conference.

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