Bücher der Reihe Lecture Notes in Control and Information Sciences

This monograph demonstrates how the performance of various well-known adaptive controllers can be improved significantly using the dual effect.

Instead, this book and recent approaches in literature show that supervision tasks do in general not require the use of such precise modelsasdi?erentialequations.Thisisofinterestbecauseuncertainties,t- ically occurring in supervision, make the use of precise models very di?cult.

This monograph presents original methods of analysis and synthesis for a wide class of control systems with required accuracy. This clearly and thoughtful written book is aimed at control engineers, practitioners such as system designers or designers of automatic control devices, as well as researchers in control theory.

This volume presents a well balanced combination of state-of-the-art theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, (bio-) chemical engineering, and fluid dynamics.

This carefully edited book brings together solicited contributions from experts in the various areas of communication/control networks referring to both networks under control (control in networks) as well as networked control systems (control over networks).

This monograph investigates a practical way to achieve robust motion control and state estimation (Kalman filtering) of mechanical systems, which is a promising approach in terms of the perturbation compensator.

This edited book contains selected papers presented at the Louisiana Conference on Mathematical Control Theory (MCT'03), which brought together over 35 prominent world experts in mathematical control theory and its applications.

From aerodynamic curve identification robotics to neuromuscular stimulation, Iterative Learning Control (ILC), has many applications. A system may have uncertainties in its dynamic model and its environment. Using system repetitiveness, ILC reduces uncertainties and improves control performance.

This is the first book to focus on the use of nonlinear analysis and synthesis techniques for aircraft control. The book will be of interest to engineers, researchers, and students in control engineering, and especially aircraft control.

It turns out that the engineering problem of model reduction in the Hankel norm is closely related to the mathematical problem of finding solutions to the sub-optimal Nehari-Takagi problem, which is called "the sub-optimal Hankel norm approximation problem" in this book.

Are there universal principles of coordinated group motion and if so what might they be? This carefully edited book presents how natural groupings such as fish schools, bird flocks, deer herds etc. coordinate themselves and move so flawlessly, often without an apparent leader or any form of centralized control. It shows how the underlying principles of cooperative control may be used for groups of mobile autonomous agents to help enable a large group of autonomous robotic vehicles in the air, on land or sea or underwater, to collectively accomplish useful tasks such as distributed, adaptive scientific data gathering, search and rescue, or reconnaissance.

Control of Flexible-link Manipulators Using Neural Networks addresses the difficulties that arise in controlling the end-point of a manipulator that has a significant amount of structural flexibility in its links.

This book incorporates data rate issues that arise in control design for systems involving communication networks. The book therefore provides the fundamentals of the networks used in control systems, based on hybrid systems theory.

This book is based on a workshop entitled "Robust Control workshop 2000". Chapters of the book are written by some of the leading researchers in the field of Robust Control. They cover a variety of topics all related to Robust Control and analysis of uncertain systems.

The ideas of uncertain variables based on uncertain logics have been introduced and developed for a wide class of uncertain systems.

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles.

In 1995, the Deutsche Forschungsgemeinschaft (DFG), the largest public research funding organization in Germany, decided to launch a priority program (Schw- punktprogramm in German) calledKondisk- Dynamics and Control of Systems with Mixed Continuous and Discrete Dynamics.

The objective of the EU Nonlinear Control Network Workshop was to bring together new and established research in the field. This volume presents contributions covering adaptive and robust control, applications in physical systems, distributed parameter systems, and much more.

The collection of articles presented here, emerged from the Block Island Workshop on Vision and Control that brought together pioneering researchers from around the world.

Control analysis and design of large nuclear reactors requires a suitable mathematical model representing the steady state and dynamic behavior of the reactor with reasonable accuracy.

Since its inception in the early 1980s, H( optimization theory has become the control methodology of choice in robust feedback analysis and design.

Proceedings of the 9th International Conference held at Antibes in June 1990, on a variety of optimization issues.

These papers were presented at the workshop on High Performance Computing and Gigabit Wide Area Networks held in September 1998 in Essen, Germany.

Robotic welding systems have been used in different types of manufacturing. The robotic welding system usually involves measuring and identifying the component to be welded, we- ing it in position, controlling the welding parameters and documenting the produced welds.

These include further applications of the abstract model based stability theory which, in particular, shows the critical importance to the dynamics developed of the structure of the initial conditions at the start of each new pass, the development of stability tests and performance bounds in terms of so-called 1D and 2D Lyapunov equations.

How can a robot decide what motions to perform in order to achieve tasks in the physical world? Robot motion planning encompasses several different disciplines, most notably robotics, computer science, control theory and mathematics.

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles.

The monograph is concerned with computational methods for controller design that allow several typical performance specifications to be directly imposed on a system. The general approach proposed, is applicable to a large class of problems; it is based on posing multi-objective control problems as convex infinite dimensional optimization problems. Particularly interesting and useful are the following methodological as pects of the approach proposed in the monograph. These are: A unified way to pose the problems as generalized linear programs. Duality theory results that characterize the duality relationship for the generalized linear programs arising from multi-objective control problems. A set of tools to analyse the convergence properties of the computational method based on the duality relationship. The complete analysis and extension of methods developed for the L1 problem, for several important multi-objective problems. This book is primarily concerned with multi-objective control problems as convex optimizations on the space of the closed loop maps. However, the issue of deriving exact or approximate solutions is similar when the problems are posed as dynamic games in s tate space. Therefore the problem of finding the state feedback controller that minimizes the worst-case peak-to-peak amplification of the closed loop system, is considered in the last chapter. The objective of this work is to propose generic computation methods that can be used to solve a wide range of multi-objective control problems. Infinite dimensional convex optimization problems are considered, giving the book a broader focus than other competitive titles in this field. This non-exclusive approach will have a wide appeal for scientists and graduate students. They will be able to determine and analyse readily implementable computational methods to derive exact or approximate solutions. Key words for the catalogue index: Controller design, multi objective control, computational methods, linear programming, robust control.USPs:Generic computational methods are proposed - these can be used to solve a wide range of multi-objective control p roblems.A new computational method for the L1 problem is suggested, which is superior to existing approaches and is based on the solution of a mixed objective problem.The reader will greatly benefit from the comprehensive treatment of this topic.

The book includes an in-depth discussion and computational analysis of hybrid system identification problems, moving from the basic questions of the definition of hybrid systems and system identification to methods of hybrid system identification and the estimation of switched linear/affine and piecewise affine models.