Nonlinear Systems and Controls (2nd Ed., 2nd ed. 2024)
Auteur : Adamy Jürgen
This textbook provides a clear introduction to the theory and application of nonlinear systems and controls. The author explains the methods of nonlinear control, which are known from control theory research and are becoming increasingly important in industrial applications. The fundamentals of nonlinear dynamics, stability theory, controllability, nonlinear control of linear and nonlinear systems, and nonlinear state transformations are covered. Furthermore, the concepts of observability and the theory and application of nonlinear observers are described.
The main features of the book are the comprehensive presentation of the theory, excellent comprehensibility, many example applications, and more than a hundred exercises with solutions, which are illustrated by numerous color diagrams.
This book is aimed at advanced engineering students and engineers in industry.
Fundamentals of nonlinear systems.- Limit cycles and stability criteria.- Controllability and flatness.- Control for linear controlled systems.- Control for nonlinear controlled systems.- Control for linear and nonlinear controlled systems.- Observers for nonlinear systems.- Dictionary.
Professor Adamy received his doctorate in control engineering, he worked for many years in industry as a development engineer and later developed controls for plant engineering as a manager. Since 1998, he has been Professor of Control Theory and Robotics at the TU Darmstadt and is currently Managing Director of the Institute for Automation Technology.
Date de parution : 05-2024
Ouvrage de 750 p.
16.8x24 cm
Thème de Nonlinear Systems and Controls :
Mots-clés :
Nonlinear dymanics; Limit cycles; Solving nonlinear differential equations; Stability theory; Controllability; Observability; Nonlinear control; Anti-windup-control; Time-optional control; Piecewise-linear-control; Gain-Scheduling control; Input-output-linearization; Full-state linearization; Flatness based control; Backstepping-control; Model-based predictive control; Passivity-based control; Sliding mode control; Fuzzy control; Observers for nonlinear systems