Bücher der Reihe Lecture Notes in Control and Information Sciences

This book comprises a selection of papers that were first presented at VSS98 (5th International Workshop on Variable Structure Systems) held in Sarasota, Florida.

This monograph is devoted to the effect of delays on the stability properties of dynamical systems. The interpretation of delays as uncertainty allows the authors to use the advances in robust control and robust convex optimization to solve or to approximate the solutions of the corresponding problems.

Modern technological systems rely on sophisticated control functions to meet increased performance requirements. For such systems, Fault Tolerant Control Systems (FTCS) need to be developed. Active FTCS are dependent on a Fault Detection and Identification (FDI) process to monitor system performance and to detect and isolate faults in the systems.

The papers included in this volume aim to serve as a source of problem formulations and references for established researchers and newcomers to the field of dynamic game theory.

For more than three decades, Anders Lindquist has delivered fundamental cont- butions to the ?elds of systems, signals and control.

There exists no similar control theory-oriented book available in the market that is devoted to the subject of chaos control, written by control engineers for control engineers.

This text presents a general nonlinear control design methodology for nonlinear uncertain dynamical systems. Specifically, a hierarchical nonlinear switching control framework is developed that provides an alternative to gain scheduling control for general nonlinear uncertain systems.

This volume is based on the course notes of the 2nd NCN Pedagogical School, the second in the series of Pedagogical Schools in the frame work of the European TMR project, "Breakthrough in the control of nonlinear systems (Nonlinear Control Network)".

A survey is given on the state of the art in theory and numerical solution of general autonomous linear quadratic optimal control problems (continuous and discrete) with differential algebraic equation constraints.

Though it must be a widely - cepted controller for mechanical control systems, it is still short of theoretical bases,e.g., optimality, performance tuning rules, automatic performance t- ing method, and output feedback PID control have not been clearly presented formechanicalcontrolsystems.Thesesubjectswillbethoroughlydiscussedin this book.

Control of nonlinear systems, one of the most active research areas in control theory, has always been a domain of natural convergence of research interests in applied mathematics and control engineering.

Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.

Positive Polynomials in Control originates from an invited session presented at the IEEE CDC 2003 and gives a comprehensive overview of existing results in this quickly emerging area.

This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks.

One of the most important and challenging problems in control is the derivation of systematic tools for the computation of controllers for constrained nonlinear systems that can guarantee closed-loop stability, feasibility, and optimality with respect to someperformance index.

This book develops the necessary mathematical background and basic results in control theory that are needed to set up and solve a class of multiple objective control design problems.

Robots, and more generally mechanical systems, are types of a physical system.

This book demonstrates the newly developed Elementary Operations Algorithm (EOA). - It demonstrates the effectiveness of the EOA algorithm, for example, through the use of algebraic symbolic computing (using MAPLE), as well as by comparing this method with common alternatives.

Decoupling or non-interactive control has attracted considerable research attention since the 1960s when control engineers started to deal with multivariable systems.

The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.

There exists no similar control theory-oriented book available in the market that is devoted to the subject of bifurcation control, written by control engineers for control engineers.

This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. Papers cover recent developments in research areas such as identification for control and the classical area of robust control.

This volume is composed of invited papers on learning and control. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.

Each year, the International Conference on Cooperative Control and Optimization (CCO) brings together top researchers from around the world to present new, cutting-edge, ideas, theories, applications, and advances in the fields of autonomous agents, cooperative systems, control theory, information flow, and optimization.

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour.

This monograph aims to present up-to-date research developments and references on robust control and filtering of uncertain singular systems in a unified matrix inequality setting. It provides a coherent approach to studying control and filtering problems as extensions of state-space systems without the commonly used slow-fast decomposition.

Focusing on the important control problems in state-of-the-art robotics and automation, this volume features invited papers from a workshop held at CDC, San Diego, California.

Thereare richtheories and designs for generalcontrolsystems,but usually, they will not lead to PID controllers. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well.

Discusses inverse problems arising in the estimation and control of distributed parameter systems. This text also considers the applications of these techniques to mathematical modelling for problems of applied system analysis including technological and enviromental issues.

This concise book covers modern sliding mode control theory. The authors identify key contributions defining the theoretical and applicative state-of-the-art of the sliding mode control theory and the most promising trends of the ongoing research activities.