Bøger i Lecture Notes in Control and Information Sciences serien

This book discusses multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies.

Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems

This book demonstrates the use of the optimization techniques that are becoming essential to meet the increasing stringency and variety of requirements for automotive systems. It shows the reader how to move away from earlier approaches, based on some degree of heuristics, to the use of more and more common systematic methods. Even systematic methods can be developed and applied in a large number of forms so the text collects contributions from across the theory, methods and real-world automotive applications of optimization.Greater fuel economy, significant reductions in permissible emissions, new drivability requirements and the generally increasing complexity of automotive systems are among the criteria that the contributing authors set themselves to meet. In many cases multiple and often conflicting requirements give rise to multi-objective constrained optimization problems which are also considered. Some of these problems fall into the domain of the traditionalmulti-disciplinary optimization applied to system, sub-system or component design parameters and is performed based on system models; others require applications of optimization directly to experimental systems to determine either optimal calibration or the optimal control trajectory/control law.Optimization and Optimal Control in Automotive Systems reflects the state-of-the-art in and promotes a comprehensive approach to optimization in automotive systems by addressing its different facets, by discussing basic methods and showing practical approaches and specific applications of optimization to design and control problems for automotive systems. The book will be of interest both to academic researchers, either studying optimization or who have links with the automotive industry and to industrially-based engineers and automotive designers.

However, the optimal nonlinear ?nite-dimensional ?lter can be - tained in some other cases, if, for example, the state vector can take only a ?nite number of admissible states [91] or if the observation equation is linear and the drift term in the 2 2 state equation satis?es the Riccati equation df /dx + f = x (see [15]).

This book examines the control problem for wheeled mobile robots. The final chapter describes how the control techniques developed for wheeled mobile robots can be applied to solve other problems with similar governing differential equations (e.g., twin rotor helicopters, surface vessels).

Aeroassisting, or aerobraking, opens new opportunities for space missions, particularly with regard to the establishment of permanent space stations and long-distance space exploration. This monograph explores major areas of research in the field.

Logical Approach to Systems Theory (LAST) provides the foundations for the second order treatment of system models and an effective framework for applying basic concepts in systems theory to the design of information systems. The main characteristics of LAST are: 1.

We are currently observing a discussion about the usefulnessof space research and the amount of spin-off we obtain fromspace programs.

Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example.

With a continuously increasing desire for natural and comfortable human/machine interaction, the acoustic interface of any terminal for multimedia or telecommunication services is challenged to allow seamless and hands-free audio communication.

A large part of today's fervour on robust control research is focused on those techniques which utilise the Variable Structure Control Method and Lyapunov's Second Method, and which constitute the backbone of the so-called "deterministic" control of uncertain systems.

Many practical control problems are dominated by characteristics such as state, input and operational constraints, alternations between different operating regimes, and the interaction of continuous-time and discrete event systems. The focus is on constrained linear systems and constrained linear hybrid systems.

This monograph summarizes the recent achievements made in the field of iterative learning control. It opens a new avenue towards a new paradigm in deterministic learning control theory accompanied by detailed examples.

Concerned with the use of high-resolution methods in underwater acoustics as a solution to the limitations of beamforming. This text is a collection of research papers and tutorials concerned largely with the bearing estimation problem, although the temporal and spectral domains are also discussed.

4 Modularity and Interconnections . 4 Comments and References . 2 Quadratic Stability . 3 Conservatism of Quadratic Stability . 4 From Quadratic to Piecewise Quadratic . 4 Dissipative Systems with Quadratic Supply Rates . 2 Controller Synthesis based on Piecewise Quadratics .

This book is about dynamical systems that are "hybrid" in the sense that they contain both continuous and discrete state variables.

The 1990 Grainger Lectures delivered at the University of Illinois, Urbana-Champaign, September 28 - October 1, 1990 were devoted to a critical reexamination of the foundations of adaptive control.

In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution.

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.

As a second goal, it was the author's feeling that a survey on the state of the art on the joint spectral radius was really missing in the literature, so that the ?rst two chapters of part I present such a survey.

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.