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?
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.
Demand for this book will be generated by the widespread use of PID in industry and because of the modern need for simple control systems to control a wider range of complex industrial processes and systems.
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.
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.
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.
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.
Intelligent algorithms are already well on their way to making white collar jobs obsolete: travel agents, data-analysts, and paralegals are currently in the firing line.
The book describes the methodologies for dynamics formulation, balancing, and optimizing dynamic quantities of multibody systems, such as mechanisms and robots.
This book will be a collection of the papers presented in the 2021 International Joint Conference on Energy, Electrical and Power Engineering (CoEEPE'21), covering new and renewable energy, electrical and power engineering.
This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI).
The spatial-temporal cooperative guidance problem for multiple flight vehicles has garnered significant attention in recent years due to its potential benefits in both military and civil fields.
This book provides a complete round-up of developments concerned with the application of partial moments in system identification and data-driven modelling; it captures the essence of work carried out at the Laboratoire d'Informatique et d'Automatique pour les Systemes for more than 40 years.
There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics.
