Fundamentals of Sliding Mode Control e-book
by Eduardo A. Misawa,Leonid M. Fridman
Sliding mode control (SMC) systems are nonlinear auto. Goodreads helps you keep track of books you want to read. Start by marking Fundamentals of Sliding Mode Control as Want to Read
Sliding mode control (SMC) systems are nonlinear auto. Start by marking Fundamentals of Sliding Mode Control as Want to Read: Want to Read savin. ant to Read. by Eduardo A. Misawa.
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Sliding mode control: theory and applications, systems and control book series.
Eduardo A Misawa, Leonid M Fridman. Here is an advanced text reference that will help control engineering practitioners solve complex problems and prepare graduate students with advanced knowledge of the topic. Many numerical design examples are included so that graduate students and engineers can quickly understand the design methodologies and their applications. These real-life examples cover control design for applications such as power convertors, electric motors, airplane flight control systems, precision motion control, ground vehicles, and intelligent highway-vehicle systems.
Sliding Mode Control is recognized as an efficient tool to design controllers which are robust with respect to uncertainty
Sliding Mode Control is recognized as an efficient tool to design controllers which are robust with respect to uncertainty. The resulting controllers have low sensitivity to plant parameters and perturbations and allow the possibility of decoupling the original plant system into two components of lower dimension. In addition many controllers ensure finite time convergence to the switching surface and can be straightforwardly implemented.
The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics.
Find all the books, read about the author, and more. Are you an author? Learn about Author Central. Leonid Fridman (Author), Arie Levant (Author) & 1 more. ISBN-13: 978-0817648923. The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems, electromechanical systems, and robotics.
Sliding Mode Control and Observation. Yuri B. Shtessel, Christopher Edwards, Leonid M. Fridman, Arie Levant. Robust control technology based o. More).
The main purpose of control engineering is to steer the regulated plant in such a way that it operates in a required manner. Richter H, Misawa EA (2002) Boundary layer eigenvalues in observer based discrete-time sliding mode control. In: Proceedings of American Control Conference, Anchorage, USA, pp 2935–2936Google Scholar. 61. Rios-Bolivar M, Zinober AIS, Sira-Ramirez H (1997) Dynamical adaptive sliding mode output tracking control of a class of nonlinear systems. Int J Robust Nonlinear Control 7:387–rossRefGoogle Scholar.
Sliding Mode Based Analysis and Identification of Vehicle Dynamics. Hocine Imine, Leonid Fridman, Hassan Shraim, Mohamed Djemai (auth.
Поиск книг BookFi BookSee - Download books for free. Leonid Fridman, Jaime Moreno, Rafael Iriarte. Advances in Variable Structure and Sliding Mode Control (Lecture Notes in Control and Information Sciences). Christopher Edwards, Enric Fossas Colet, Leonid Fridman.