Bøger i Communications and Control Engineering serien

In this book the authors present a co-design approach which subsumes the synthesis of the optimal control laws and the generation of an optimal schedule of control signals on real-time networks based on a thorough analysis of the induced time-delay system.

Offering readers a wealth of cutting-edge, Riccati-based design techniques for various forms of control, this self-contained text stress-tests the reliability of the methods outlined with rigorous stability analyses and detailed control design algorithms.

This rigorous and practical introduction to nonlinear control design was written by the creators of the dynamic surface control algorithm. It discusses a range of problems including DSC design, output feedback, input saturation and fault-tolerant control.

secret-key ciphers with no memo ry in the enciphering transformation) but give short shrift to stream ciphers (i. My own research interest in stream ciphers found a natural re sonance in one of my doctoral students at the Swiss Federal Institute of Technology in Zurich, Rainer A.

Chapter 4 treats controllability and reach ability of discrete-time systems, controllability regions for con strained inputs and the choice of the sampling interval primarily under controllability aspects.

More and more digital devices are being used for informa tion processing and control purposes in a variety of systems applications, including industrial processes, power networks, biological systems and communication networks.

In contrast to the first two books, where recursive computer-aided me thods for setting robot dynamic equations where described, this mono graph presents a new approach to the formation of robot dynamics.

Many of the practical techniques developed for treating systems described by periodic differential equations have arisen in different fields of application;

The aim of this monograph is to ap proach the dynamics of active mechanisms from the standpoint of its application to the synthesis of complex motion and computer-aided de sign of manipulation mechanisms with some optimal performances.

This book approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). It shows readers how to derive necessary stability and convergence criteria for their own systems.

This monograph couples output regulation with several recent developments in modern control theory.

This book deals with the class of singular systems with random abrupt changes also known as singular Markovian jump systems. The book examines both the theoretical and practical aspects of the control problems from the angle of the structural properties of linear systems.

This interdisciplinary book defines reachability in the stochastic framework, covering such concepts as stochastic reachability based on Markov process theory; martingale methods; stochastic reachability as an optimal stopping problem and dynamic programming.

Introducing passivity as a design tool for multi-agent systems, this book provides a unified framework for multi-agent coordination problems and discusses numerous related factors such as formation control, attitude coordination, and synchronization.

This construction of strict Lyapunov functions is an ongoing engineering challenge. This book contains a broad repertoire of Lyapunov constructions for nonlinear systems, focusing on methods for transforming non-strict Lyapunov functions into strict ones.

This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more.

Thoroughly revised and updated, this second edition of Adaptive Control covers new developments in the field, including multi-model adaptive control with switching, direct and indirect adaptive regulation, and adaptive feedforward disturbance compensation.

The subject of nonlinear control systems analysis has grown rapidly and this book provides a simple presentation of their stability and feedback stabilization. It enables the reader to learn and understand major techniques used in mathematical control theory.

Here is a thorough introduction to nonlinear model predictive control for discrete-time and sampled-data systems. Includes an appendix with NMPC software and accompanying MATLAB (R) and C++ programs enable readers to perform computer experiments exploring NMPC.

Assuming only neighbor-neighbor interaction among vehicles, this monograph develops distributed consensus strategies that ensure that the information states of all vehicles in a network converge to a common value. Readers learn to deal with groups of autonomous vehicles in aerial, terrestrial, and submarine environments.

This book presents a comprehensive theoretical treatment of the H2 approach to data-driven control design. It features a large number of practical designs performed for different classes of processes: thermal, fluid processing and electromechanical.

This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders. Solving these problems extends the existing application domains of multi-agent networks.

Shows the reader how to use robust iterative learning control in the face of model uncertaintyHelps to improve the performance of repetitive electromechanical tasks, widespread in industryProvides a rounded and self-contained approach to the subject of iterative learning control not available elsewhere

This book presents a collection of new methods of control for complex dynamical systems, some of them developed by the authors in the past 15 years. Mechanical and electromechanical systems described by nonlinear Lagrange's equations are considered.

The material here develops the robust control of infinite-dimensional dynamical systems derived from time-dependent coupled PDEs associated with boundary-value problems. Mathematical foundations are provided to keep the book accessible to the non-specialist.

This book presents a thorough investigation of stability effects on three broad classes of switching mechanism: arbitrary switching, constrained switching, and designed switching. Includes many motivating and illustrative examples.

This book presents a new approach to the investigation of Boolean control networks, using the semi-tensor product (STP), which can express a logical function as a conventional discrete-time linear system. This makes it possible to analyze basic control problems.

This volume presents recent and notable progress in the mathematical theory of stabilization of Newtonian fluid flows. It avoids the tedious technical details often seen in mathematical treatments of the subject and will thus appeal to a wide range of readers.

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra;