Bøger i Advances in Industrial Control serien

This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems.

This book emphasizes the application of Linear Parameter Varying (LPV) gain scheduling techniques to the control of wind energy conversion systems.

This holistic system-oriented view of clutch performance includes a comprehensive description of driveline elements and their operation, a blend of theoretical and experimental approaches, and practical implementation strategies based on Renault prototypes.

This book introduces a formalism for modeling complex and large-scale systems that merges Petri nets, differential equation systems, and object-oriented methods. It describes a method that starts from the requirements of a supervisory system and results in a proposal for such a system.

This monograph provides an extended overview of modelling and control approaches for freeway traffic systems, moving from the early methods to the most recent scientific results and field implementations. The concepts of green traffic systems and smart mobility are addressed in the book, since a modern freeway traffic management system should be designed to be sustainable. Future perspectives on freeway traffic control are also analysed and discussed with reference to the most recent technological advancementsThe most widespread modelling and control techniques for freeway traffic systems are treated with mathematical rigour, but also discussed with reference to their performance assessment and to the expected impact of their practical usage in real traffic systems. In order to make the book accessible to readers of different backgrounds, some fundamental aspects of traffic theory as well as some basic control concepts, useful for better understanding the addressed topics, are provided in the book. This monograph can be used as a textbook for courses on transport engineering, traffic management and control. It is also addressed to experts working in traffic monitoring and control areas and to researchers, technicians and practitioners of both transportation and control engineering. The authors¿ systematic vision of traffic modelling and control methods developed over decades makes the book a valuable survey resource for freeway traffic managers, freeway stakeholders and transportation public authorities with professional interests in freeway traffic systems.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Readers of this book will be shown how, with the adoption of ubiquituous sensing, extensive data-gathering and forecasting, and building-embedded advanced actuation, intelligent building systems with the ability to respond to occupant preferences in a safe and energy-efficient manner are becoming a reality.

This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls.

Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory.

A complete solution for vibration control problems in structures that may be subject to a broadband primary vibration field, this book covers a range of issues from optimal placement of sensors and actuators to controller implementation and rapid prototyping.

An in depth examination of many of the complex issues associated with planning and optimisation of intensity modulated radiotherapy treatment.

This book shows how an understanding of system dynamics is crucial to good performance and how that performance can be improved across a plant's operating range by using predictive control. It explains how different controllers can be applied.

This book provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data.

It has been extensively edited and rewritten throughout with the following particular areas being expanded or added:* piezoelectric actuators* fine movement control* gantry-stage control* interpolation of quadrature encoder signals* geometrical error modeling for single-, dual- and general-XY-axis stages.

This book offers rigorous, yet practical, methods for the design of networked and distributed predictive control systems, including new techniques for system design, insight into likely issues and challenges, and integrated exposition of novel research topics.

This book develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems.

Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws.

This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs.

Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes. Topics include PID controller assessments, two-degree-of-freedom control scheme design, Smith predictor control scheme modifications, and more.

Focusing on control methods that influence vehicle dynamics to assist the driver in passenger comfort, road holding, efficiency and safety of transport, etc., this monograph expounds various ideas based on a unified modeling and design method provided by the linear parameter varying (LPV) framework on individual-vehicle-component level.

This book presents recent developments in vibration control systems that employ embedded piezoelectric sensors and actuators, reviewing ways in which active vibration control systems can be designed for piezoelectric laminated structures, paying distinct attention to how such control systems can be implemented in real time.

This focused treatment includes the fundamentals and some state-of-the-art developments in the field of predictive control. A substantial part of the book addresses application issues in predictive control, providing several interesting case studies for more application-oriented readers.

Aimed at control, computer, electrical, mechanical and industrial engineers, researchers and scientists, this book offers new methods to avoid bottlenecks and interruptions in manufacturing. Real-world examples of flexible manufacturing systems are included.

Basic issues about real-time systems and their properties, especially safety, are examined first. Then, system and hardware architectures are dealt with, along with programming issues, embodying desired properties, basic language subsets, object orientation and language support for hardware and software specifications.

Written by leading researchers, this book collects a number of articles considering the problems of finite-precision computing in digital controllers and filters. Topics range from analysis of fragility and finite-precision effects to the design of low-complexity digital controllers.

This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies.

This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems.

Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure.