Fatigue has long been recognized as a mechanism that can provoke catastrophic material failure in structural applications and researchers are now turning to the development of prediction tools in order to reduce the cost of determining design criteria for any new material.
Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns.
A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods.
Diamond has a unique combination of properties, such as the highest hardness and thermal conductivity among any known material, high electrical resistivity, a large optical band gap and a high transmission, good resistance to chemical erosion, low adhesion and friction, and extremely low thermal expansion coefficient.
In the process industries, stiction is the most common performance-limiting valve problem and over the last decade numerous different techniques for overcoming it have been proposed.
New, global and extended markets are forcing companies to process and manage increasingly differentiated products with shorter life cycles, low volumes and reduced customer delivery times.
To be able to compete successfully both at national and international levels, production systems and equipment must perform at levels not even thinkable a decade ago.
Model Predictive Control System Design and Implementation Using MATLAB(R) proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.
Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice.
"e;Advanced Control of Industrial Processes"e; presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure.
In today's competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service.
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?
Manufacture of components from powders often requires a compaction step; as in powder metallurgy, ceramic, hardmetal, magnet, pharmaceutical, refractory and other sectors to make anything from complex gears for cars to pills to dishwasher tablets.
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.
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.
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.
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 offers a comprehensive overview of bioactive phytochemicals within by-products from leaf, stem, root, and tuber vegetables, and it explores the valorisation of these vegetable cultivation and processing by-products, not only as a source of valuable bioenergy but also for health purposes.
This book discusses the recent advancements in chemical engineering and their role in achieving the United Nations' 2030 Agenda and Sustainable Development Goals (SDGs).
This book provides comprehensive information on starch modification using physical approaches - a field that has attracted increasing interest in recent years due to the fact that it is no longer desirable to label starch a modified.
Insects have been consumed by various cultures across the globe for centuries, yet their potential as a sustainable and nutritious food source has only recently gained widespread attention.
This book presents a novel exploration of the European Union's (EU) regulatory framework applicable to food products derived from mushrooms and mycelium fermentation, a subject that has not previously been the focus of a comprehensive study or review.
This book is a comprehensive and modern guide on emerging nanoparticles and their diverse applications in engineering, medicine, food safety, transportation, energy, agriculture, and environmental sustainability.
