Bøger i Lecture Notes in Control and Information Sciences serien

It has been shown, indeed, that delays in a controlled system (for instance, a c- munication delay for data acquisition) may have an "ambiguous" nature: they may stabilize the system, or, in the contrary,they may lead to deteriorationof the clos- loop performance or even instability, depending on the delay value and the system parameters.

While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of relatively fast systems. It also provides research showing how generic predictive control schemes can be extended from slow process-based systems to a variety of fast systems.

This book presents both basic and advanced concepts and techniques for the monitoring and control of chemical and biochemical processes.

This book reports on cutting-edge work by the 21 leading research teams studying variable structure systems and sliding mode control. Covering basic concepts and algorithms as well as analysis and applications, it is a must-read for control systems engineers.

This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector.

Positioning systems measure the location of one or moreobjects. This approach allows the derivationof performance limits,estimates of optimal configuration,reasoning about classes of systems, direct comparisonbetween positioning and communication systems, and estimatesof the source information rate of moving objects.

This book covers dosage and timing optimization in oral drug administration; measurement and control of blood glucose levels in diabetes; control of depth of anaesthesia with fuzzy and state feedback controllers and more. Each chapter includes exercises.

In the 60's, control, signals and systems had a common linear algebraic background and, according to their evolution, their respective backgrounds have now dramatically differed.

The authors present a study of the H-infinity control problem and related topics for descriptor systems, described by a set of nonlinear differential-algebraic equations.

Regarding digital images as special input/output relations in the authors' previous book in the series Lecture Notes in Control and Information Sciences, the description problem of digital images is transformed into the realization problem of digital images.

Physical, safety and technological constraints suggest that control actuators can neither provide unlimited amplitude signals nor unlimited speed of reaction. Such methods are well suited for the development of tools that help engineers to solve analysis and synthesis problems of control systems with input and output constraints.

Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems will be of interest to engineers engaged in control systems research and development, to graduate students specializing in stochastic control theory, and to applied mathematicians interested in control problems.

All the tests and criteria given are constructive in the sense that algorithmic versions may be implemented in modern computer algebra systems, using Groebner basis techniques. There is a close connection between multidimensional systems theory and robust control of one-dimensional systems with several uncertain parameters.

Singular time-delay systems are very suitable to describe a lot of practical systems such as manufacturing systems, networked control systems, power systems and electrical circuits.

Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems.

This monograph deals with control problems of discrete-time dynamical systems, which include linear and nonlinear input/output relations. A new method, which produces manipulated inputs, is presented in the sense of state control and output control.

This book resents a switched finite time control philosophy to stabilize a class of underactuated systems. Beginning with basic definitions and mathematical preliminaries, the monograph works its way up to the main control algorithm. Other facets of the algorithm and an alternate algorithm are also briefly touched upon.

This book presents a state space approach to the analysis of zeros of MIMO LTI discrete-time systems, using the Moore-Penrose pseudoinverse and singular value decomposition of the first nonzero Markov parameter of a system.

This book shows the value of Linear Parameter Varying (LPV) approaches for controlling dynamic behavior of vehicles, offering research on LPV methods and their application to vehicle dynamics. Covers road vehicles, railway, aerospace and underwater vehicles.

This book contains the proceedings of the Workshop on Networked Embedded Sensing and Control. This workshop aims at bringing together researchers working on different aspects of networked embedded systems in order to exchange research experiences and to identify the main scientific challenges in this exciting new area.

Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics.

This research monograph summarizes solutions to reconfigurable fault-tolerant control problems for nonlinear dynamical systems that are based on the fault-hiding principle.

He has been teaching automation for over 20 years in engineering and graduate schools. Bogdan Marinescu is currently research engineer at the French Transmission System Operator (RTE) and Associate Professor at SATIE-Ecole Normale Superieure de Cachan.

It is an extended and modified English version of its preceding Polish edition published by Technical University of Bialystok in 2009. students of the Faculty of Electrical Engineering of Bialystok University of Technology and of Warsaw University of Technology and on invited lectures in several foreign universities in the last three years.

The mathematical model is derived step by step on the basis of physical principles, and the physics behind the control problems serves as a basis for the controller design. The book demonstrates how the physics behind the mathematical models can help to successfully apply a certain control strategy.

Complexity, Analysis and Control of Singular Biological Systems follows the control of real-world biological systems at both ecological and phyisological levels concentrating on the application of now-extensively-investigated singular system theory.