A common sense of time among the elements of a distributed measurement and control system allows the use of new techniques in solving problems with complex synchronization requirements or arising from the interaction of many sensors and actuators.
Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like:How should I carry out the identification of my process to obtain a good model?
What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices.
Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles.
The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems.
Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems.
Recognising the benefits of improved control, the second edition of Autotuning of PID Controllers provides simple yet effective methods for improving PID controller performance.
Actuator saturation is probably the most frequent nonlinearity encountered in control applications and causes "e;controller"e; windup and "e;plant"e; windup calling for distinct remedies.
Interoperability: the ability of a system or a product to work with other systems or products without special effort from the user is a key issue in manufacturing and industrial enterprise generally.
engineers into a single volume whilst concentrating on two important research control design problems: autopilots with rudder-roll stabilization and fin and combined rudder-fin stabilization.
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.
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science.
Modelling and Control of Mini-Flying Machines is an exposition of models developed to assist in the motion control of various types of mini-aircraft: Planar Vertical Take-off and Landing aircraft; helicopters; quadrotor mini-rotorcraft; other fixed-wing aircraft; blimps.
Taking a three-pronged approach - test engineering from traditional-test, design and manufacturing view-points - Integrated Circuit Test Engineering encapsulates the subject as it stands today.
Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems.
A second edition of this book has given me the opportunity to respond to suggestions from both students and correspondents from around the world, fromdisparateregionsrangingfromScotlandtoHawaii.
This book brings together the perspectives of key researchers to explore lessons on social shaping, examining what can be learned from the adoption of mobile devices that can be applied to other, newer, digital technologies.
Advances in the miniaturization of microelectromechanical systems have led to battery-powered sensor nodes that have sensing, communication and p- cessingcapabilities.
Fuel cells are electrochemical devices that convert the energy of a fuel (such as hydrogen, natural gas or other hydrocarbon-based fuels) directly into electricity.
Optoelectronic devices operating in the mid-infrared wavelength range offer applications in a variety of areas from environmental gas monitoring around oil rigs to the detection of narcotics.
Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system.
Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain.
This book objectively represents the achievements, status quo, and trends of China Internet development in 2021, systematically summarizes the main experience of China Internet development, and deeply analyzes the strategic planning, policies and measures, and development achievements, level, and trends in China in terms of eight aspects, i.
This book presents an in-depth review of the recent interdisciplinary studies that have shed light on the mechanisms of the creation, energy transfer, and measurement of the dressed photon.
This book includes papers presented at the 4th International Conference on Electronic Engineering and Renewable Energy (ICEERE 2024), held in Saidia, Morocco, which focus on the application of artificial intelligence techniques, emerging technology, and the Internet of things in electrical and renewable energy systems, including hybrid systems, micro-grids, networking, smart health applications, smart grid, mechatronics, and electric vehicles.
This book introduces a novel approach to designing and analyzing beneficial nonlinearity, which plays a crucial role in engineering systems and cannot be overlooked in structural design, dynamic response analysis, and parameter selection.