Bøger i Lecture Notes in Control and Information Sciences serien

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.

Theincreasingcomplexityofspacevehiclessuchassatellites,andthecostreduction measures that have affected satellite operators are increasingly driving the need for more autonomy in satellite diagnostics and control systems.

In this volume the important concept of switched and impulsive control is discussed, with a wide field of applications in the analysis and control of complex systems.

Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems.

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 presents closed-loop blood glucose control in a simple manner, which includes the hardware and "software" components that make up the control system. It provides examples on how mathematical models are formulated as well as the control algorithms that stem from mathematical exercises.

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.

The subject of this book is model abstraction of dynamical systems. * A review of abstraction and an extension of these ideas into new system relationship characterizations called traceability and -traceability.

the ?fth chapter of the Kon Tiki Expedition, with an entertaining account of the possible use of multiple movable centerboards on a sailing raft) led to a - sic change: keeled hulls and corresponding rigging, which made sailing against the wind possible.

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.

This monograph deals with approximation and noise cancellation of dynamical systems which include linear and nonlinear input/output relations. It will be of special interest to researchers and engineers who specialize in filtering theory and system theory.