Control of Nonlinear Dynamical Systems Methods and Applications /

• Κύριοι συγγραφείς: Chernousko, Felix L. (Συγγραφέας), Ananievski, Igor M. (Συγγραφέας), Reshmin, Sergey A. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Communications and Control Engineering,
• Θέματα: Engineering.; System theory.; Statistical physics.; Dynamical systems.; Control engineering.; Robotics.; Mechatronics.; Automation.; Robotics and Automation.; Control.; Systems Theory, Control.; Control, Robotics, Mechatronics.; Statistical Physics, Dynamical Systems and Complexity.

 This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. Various constraints are imposed on control inputs and state variables or their combinations. The book contains an introduction to the theory of optimal control and the theory of stability of motion, and also a description of some known methods based on these theories. Major attention is given to new methods of control developed by the authors over the last 15 years. Mechanical and electromechanical systems described by nonlinear Lagrange’s equations are considered. General methods are proposed for an effective construction of the required control, often in an explicit form. The book contains various techniques including the decomposition of nonlinear control systems with many degrees of freedom, piece-wise linear feedback control based on Lyapunov’s functions, methods which elaborate and extend the approaches of the conventional control theory, optimal control, differential games, and the theory of stability. The distinctive feature of the methods developed in the book is that the controls obtained satisfy the imposed constraints and steer the dynamical system to a prescribed terminal state in finite time. Explicit upper estimates for the time of the process are given. In all cases, the control algorithms and the estimates obtained are strictly proven. The methods are illustrated by a number of control problems for various engineering systems: robotic manipulators, pendular systems, electromechanical systems, electric motors, multibody systems with dry friction, etc. The efficiency of the proposed approaches is demonstrated by computer simulations. The authors hope that the monograph will be a useful contribution to the scientific literature on the theory and methods of control for dynamical systems. The book could be of interest for scientists and engineers in the field of applied mathematics, mechanics, theory of control and its applications, and also for students and postgraduates. 

 Optimal control -- Method of decomposition (the first approach) -- Method of decomposition (the second approach) -- Stability based control for Lagrangian mechanical systems -- Piecewise linear control for mechanical systems under uncertainty -- Continuous feedback control for mechanical systems under uncertainty -- Control in distributed-parameter systems -- Control system under complex constraints -- Optimal control problems under complex constraints -- Time-optimal swing-up and damping feedback controls of a nonlinear pendulum.