Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. The book introduces new ideas, techniques and algorithms to the areas of process identification and process control, two key components of process engineering, essential for optimising production systems. It examines both theoretical advances in these areas and a wide variety of applications.
Several novel approaches are presented for identifying models of dynamical systems based on observed process input-output data, and for designing popular PID control algorithms that make the dynamical system behave in the desired fashion.
From Plant Data to Process Control provides a valuable reference to professional engineers and researchers working in the identification and control fields.
Liuping Wang is a Senior Lecturer and Research Co-ordinator in the Centre for Integrated Dynamics and Control in the Department of Electrical and Computer Engineering at the University of Newcastle, Australia
William Cluett is a Professor in the Department of Chemical Engineering and Applied Chemistry at the University of Toronto, Canada.

eBook available with sample pages: 0203305620

Covering the authors' own state-of-the-art research results, Mathematical Aspects of Logic Programming Semantics presents a rigorous, modern account of the mathematical methods and tools required for the semantic analysis of logic programs. It significantly extends the tools and methods from traditional order theory to include nonconventional methods from mathematical analysis that depend on topology, domain theory, generalized distance functions, and associated fixed-point theory. The book covers topics spanning the period from the early days of logic programming to current times. It discusses applications to computational logic and potential applications to the integration of models of computation, knowledge representation and reasoning, and the Semantic Web. The authors develop well-known and important semantics in logic programming from a unified point of view using both order theory and new, nontraditional methods. They closely examine the interrelationships between various semantics as well as the integration of logic programming and connectionist systems/neural networks. For readers interested in the interface between mathematics and computer science, this book offers a detailed development of the mathematical techniques necessary for studying the semantics of logic programs. It illustrates the main semantics of logic programs and applies the methods in the context of neural-symbolic integration.

Exploring fundamental research questions, Conceptual Structures in Practice takes you through the basic yet nontrivial task of establishing conceptual relations as the foundation for research in knowledge representation and knowledge mining. It includes contributions from leading researchers in both the conceptual graph and formal concept analysis (FCA) communities. This accessible, self-contained book begins by providing the formal background in FCA and conceptual graphs. It then describes various software tools for analysis and computation, including the ToscanaJ suite. Written by the original visionaries of the field, the next section discusses the history and future directions of conceptual structures. The final chapters explore prominent application areas in computer science, including text analysis, web semantics, and intelligent systems. An unprecedented, state-of-the-art overview from innovators in the field, this volume discusses how FCA and conceptual graphs can be used in many computer science areas. It serves as a benchmark of research on conceptual structures, inspiring further exploration in this discipline.

A book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly and concisely. Outlining a wide range of methods and models, it begins by examining the method of qualitative assessment. Next, it describes the process and methods for building an index system of evaluation and considers the compared evaluation and the logical framework approach, analytic hierarchy process (AHP), and the data envelopment analysis (DEA) relative efficiency evaluation method. Unique in its emphasis on the practical applications of systems evaluation methods and models, the book introduces several new evaluation models of grey system, including general grey incidence model, grey incidence models based on similarity and closeness, grey cluster evaluation based on triangular whitenization functions, and multi-attribute grey target decision model. Explaining intricate concepts in language that is easy to understand it provides step-by-step explanations of the various methods and models. The text illustrates the practical application, analysis, and computation of systems evaluation methods and models with an abundance of practical examples and empirical studies. The case studies examine post evaluation of road-bridge construction projects, the efficiency evaluation of the science and technology activities, the evaluation of energy-saving projects in China, and the evaluation and selection of international cooperation projects.

This book investigates new important applications of the Spatial Grasp Technology (SGT) allowing us to effectively simulate and manage large distributed dynamic systems on semantic and holistic levels. This patented technology, developed for decades and in different countries, is based on a completely different philosophy and model allowing us to directly operate in united distributed physical and virtual spaces and provide system solutions much simpler and more compact than under other approaches. The described applications include basic operations suitable for solving many network-related problems, simulation of such mysterious concept as consciousness so important for the design of advanced intelligent systems, modelling the spread of viruses and distribution of antivirus vaccine, and also implementation of the latest decision-centric and mosaic-based organizational concepts important for modern defence and industrial systems. The described technology version with its Spatial Grasp Language can be implemented even within university environments, with communicating language interpreter copies, potentially numbering millions to billions, easily embedded into any existing systems, including Internet, thus converting the whole world into a powerful symbiotic simulation management engine. The book is oriented on system scientists, application programmers, industry managers, and also university students interested in advanced M.Sc. and Ph.D. projects related to distributed system management.

This eagerly anticipated, revised and updated reference discusses applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries-describing systems that enable projects to move forward swiftly and efficiently. Minimize the risk and avoid the pitfalls associated with working for the first time in an area of new technology Focusing on the nuances of the engineering and system integration of machine vision technology, the Second Edition of Understanding and Applying Machine Vision considers three-dimensional and color machine vision techniques offers the means to perform a back-of-the-envelope estimate to determine the feasibility of a specific application outlines the step-by-step introduction of machine vision into a factory details how to integrate machine vision systems into production processes reviews the algorithms available in commercial machine vision systems provides methodology to evaluate machine vision system vendors explains how to conduct buy-off procedures reviews the underlying principles of image processing and analysis and more Surveying the history of machine vision and including recent developments in the field in the 10 years since publication of the first edition, the Second Edition of Understanding and Applying Machine Vision is an excellent reference for manufacturing, production, quality, industrial, electrical, mechanical, packaging, process, control, automotive, plant, plastics, methods, automation, robotics, and optical engineers and managers; application engineers and trainees at merchant machine vision companies and machine vision system integrators; and upper-level undergraduate and graduate students in these disciplines.

Control technology permeates every aspect of our lives. We rely on them to perform a wide variety of tasks without giving much thought to the origins of the technology or how it became such an important part of our lives.

Control System Applications covers the uses of control systems, both in the common and in the uncommon areas of our lives. From the everyday to the unusual, it's all here. From process control to human-in-the-loop control, this book provides illustrations and examples of how these systems are applied. Each chapter contains an introduction to the application, a section defining terms and references, and a section on further readings that help you understand and use the techniques in your work environment.

Highly readable and comprehensive, Control System Applications explores the uses of control systems. It illustrates the diversity of control systems and provides examples of how the theory can be applied to specific practical problems. It contains information about aspec ts of control that are not fully captured by the theory, such as techniques for protecting against controller failure and the role of cost and complexity in specifying controller designs.

Presents a complete overview of the main EEG-based BCI paradigms and the related practical solutions for their design, prototyping, and testing Describes wearable and low-cost EEG-based solutions Explores active, reactive, and passive BCI paradigms Explains the entire research-and-development process of a BCI prototype Provides examples of BCI system applications in several fields

This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation. It presents applications in diverse areas including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book: Merges the engineering perspective with the human factors and social dimension of Computing and artificial intelligence-based technologies. Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. Relates to human behavior in the context of technology and systems interactions. Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.

Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and Natural Language Processing Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing Discovers deep learning frameworks and libraries for NLP, Speech and Computer vision in Python Gives insights into using the tools and libraries in python for real-world applications. Provides easily accessible tutorials, and real-world case studies with code to provide hands-on experience.

Under the vast umbrella of Plant Sciences resides a plethora of highly specialized fields. Botanists, agronomists, horticulturists, geneticists, and physiologists each employ a different approach to the study of plants and each for a different end goal. Yet all will find themselves in the laboratory engaging in what can broadly be termed biotechnology. Addressing a wide variety of related topics, Plant Tissue Culture, Development, and Biotechnology gives the practical and technical knowledge needed to train the next generation of plant scientists regardless of their ultimate specialization. With the detailed perspectives and hands-on training signature to the authors previous bestselling books, Plant Development and Biotechnology and Plant Tissue Culture Concepts and Laboratory Exercises, this book discusses relevant concepts supported by demonstrative laboratory experiments. It provides critical thinking questions, concept boxes highlighting important ideas, and procedure boxes giving precise instruction for experiments, including step-by-step procedures, such as the proper microscope use with digital photography, along with anticipated results, and a list of materials needed to perform them. Integrating traditional plant sciences with recent advances in plant tissue culture, development, and biotechnology, chapters address germplasm preservation, plant growth regulators, embryo rescue, micropropagation of roses, haploid cultures, and transformation of meristems. Going beyond the scope of a simple laboratory manual, this book also considers special topics such as copyrights, patents, legalities, trade secrets, and the business of biotechnology. Focusing on plant culture development and its applications in biotechnology across a myriad of plant science specialties, this text uses a broad range of species and practical laboratory exercises to make it useful fo

There are many feedback control books out there, but none of them capture the essence of robust control as well as Introduction to Feedback Control Theory. Written by Hitay Özbay, one of the top researchers in robust control in the world, this book fills the gap between introductory feedback control texts and advanced robust control texts.

Introduction to Feedback Control Theory covers basic concepts such as dynamical systems modeling, performance objectives, the Routh-Hurwitz test, root locus, Nyquist criterion, and lead-lag controllers. It introduces more advanced topics including Kharitanov's stability test, basic loopshaping, stability robustness, sensitivity minimization, time delay systems, H-infinity control, and parameterization of all stabilizing controllers for single input single output stable plants. This range of topics gives students insight into the key issues involved in designing a controller.

Occupying and important place in the field of control theory, Introduction to Feedback Control Theory covers the basics of robust control and incorporates new techniques for time delay systems, as well as classical and modern control. Students can use this as a text for building a foundation of knowledge and as a reference for advanced information and up-to-date techniques

This proceedings book helps bring insights from this array of technical sub-topics together, as advanced robot algorithms draw on the combined expertise of many fields-including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science. Intelligent robots and autonomous systems depend on algorithms that efficiently realize functionalities ranging from perception to decision making, from motion planning to control. The works collected in this SPAR book represent the state of the art in algorithmic robotics. They originate from papers accepted to the 14th International Workshop on the Algorithmic Foundations of Robotics (WAFR), traditionally a biannual, single-track meeting of leading researchers in the field of robotics. WAFR has always served as a premiere venue for the publication of some of robotics' most important, fundamental, and lasting algorithmic contributions, ensuring the rapid circulation of new ideas. Though an in-person meeting was planned for June 15-17, 2020, in Oulu, Finland, the event ended up being canceled owing to the infeasibility of international travel during the global COVID-19 crisis.

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control problems."

This book investigates human–machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance. Through mathematical modelling and using various case studies, the book provides an understanding of how a mathematical modelling approach can assist in working out problems in any industrial-oriented activity. Mathematical Modelling: Simulation Analysis and Industrial Applications details a data analysis approach using mathematical modelling sensitivity. This approach helps in the processing of any type of data and can predict the result so that based on the result, the activity can be controlled by knowing the most influencing variables or parameters involved in the phenomenon. This book helps to solve field and experimental problems of any research activity using a data-based modelling concept to assist in solving any type of problem. Students in manufacturing, mechanical, and industrial engineering programs will find this book very useful. This topic has continued to advance and incorporate new concepts so that the manufacturing field continues to be a dynamic and exciting field of study.

This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing protocol for underwater wireless sensor network, and power line communication. This book can be beneficial for students, researchers as well as industry professionals.

A Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that most frequently occur in scientific and engineering applications and university education. The authors pay special attention to issues that many engineers and students find difficult to understand. The first part of the book contains chapters on arithmetic, elementary and analytic geometry, algebra, differential and integral calculus, functions of complex variables, integral transforms, ordinary and partial differential equations, special functions, and probability theory. The second part discusses molecular physics and thermodynamics, electricity and magnetism, oscillations and waves, optics, special relativity, quantum mechanics, atomic and nuclear physics, and elementary particles. The third part covers dimensional analysis and similarity, mechanics of point masses and rigid bodies, strength of materials, hydrodynamics, mass and heat transfer, electrical engineering, and methods for constructing empirical and engineering formulas. The main text offers a concise, coherent survey of the most important definitions, formulas, equations, methods, theorems, and laws. Numerous examples throughout and references at the end of each chapter provide readers with a better understanding of the topics and methods. Additional issues of interest can be found in the remarks. For ease of reading, the supplement at the back of the book provides several long mathematical tables, including indefinite and definite integrals, direct and inverse integral transforms, and exact solutions of differential equations.

Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved. An optimal control is a set of differential equations describing the paths of the control variables that minimize the cost functional. This book, Continuous Time Dynamical Systems: State Estimation and Optimal Control with Orthogonal Functions, considers different classes of systems with quadratic performance criteria. It then attempts to find the optimal control law for each class of systems using orthogonal functions that can optimize the given performance criteria. Illustrated throughout with detailed examples, the book covers topics including: Block-pulse functions and shifted Legendre polynomials State estimation of linear time-invariant systems Linear optimal control systems incorporating observers Optimal control of systems described by integro-differential equations Linear-quadratic-Gaussian control Optimal control of singular systems Optimal control of time-delay systems with and without reverse time terms Optimal control of second-order nonlinear systems Hierarchical control of linear time-invariant and time-varying systems

Series Information:
Series in Systems and Control

Enhancing awareness of the interdependence of systems engineering and safety, Systems Engineering and Safety: Building the Bridge covers systems engineering methodology, safety tools, and the management needed to build the bridge between these two disciplines. It underscores the relationship between the disciplines and how understanding the relationship can benefit your organization and industry. The book lays out the purpose of the methodology of systems engineering and the tools of safety. It identifies the importance of management and the culture, commitment, communication, and coordination that management must provide. The author describes the systems engineering methodology: the lifecycle, processes, and management and the technical processes that systems engineers and safety professionals must be familiar with. He merges management, systems engineering, and safety into the lifecycle through project processes. Using real-world examples, he also examines the roles and responsibilities of management, and a breakdown theory of safety in the management processes: The Glismann Effect. The strength of this book is that it can be read, understood, and hopefully acted upon by the chief executive officer of a corporation, right down to the line manager of systems engineering or the subject matter expert in the safety department. This value can be measured in cost savings, be it in the form of human, social, or financial capital.

This book looks at how to design complex products that have many components with intricate relationships and requirements. It also discusses how to manage processes involved in their lifecycle, from concept generation to disposal, with the objectives of increasing customer satisfaction, quality, safety, and usability and meeting program timings and budgets. Part I covers systems engineering concepts, issues, and bases in product design. Part II examines quality, human factors, and safety engineering approaches. Part III describes important tools and methods used in these fields, and Part IV includes other relevant integration topics, interesting applications of useful techniques, and observations from a few "landmark" product development case studies.

As its name implies, the aim of Systems Design and Engineering: Facilitating Multidisciplinary Development Projects is to help systems engineers develop the skills and thought processes needed to successfully develop and implement engineered systems. Such expertise typically does not come through study but from action, hard work, and cooperation. To that end, the authors have chosen a "hands-on" approach for presenting material rather than concentrating on theory, as so often is the case in a classroom setting. This attractive and accessible text is a mix of theory and practical approach, illustrated with examples that have enough richness and variability to hold your attention. Models are presented for controlling the design, change, and engineering processes. Various aspects of systems engineering and methods providing the big picture at system level are discussed. In some ways, you can think of the book as a compact "starter's kit" for systems engineers. Although the authors are recognized experts in academic settings, they attribute much of their success in systems engineering to their own hands-on experiences and want to show you how to achieve that same level of expertise. Simply reading this book or any other book will not suffice for the learning process to become a systems engineer - no book will do that. However, by following the principles laid out in this book, you can develop the necessary skills and expertise to help you start an interesting, challenging, and rewarding career as a systems engineer.

This book presents selected peer-reviewed papers presented at the International Conference on Innovative Technologies in Mechanical Engineering (ITME) 2019. The book discusses a wide range of topics in mechanical engineering such as mechanical systems, materials engineering, micro-machining, renewable energy, systems engineering, thermal engineering, additive manufacturing, automotive technologies, rapid prototyping, computer aided design and manufacturing. This book, in addition to assisting students and researchers working in various areas of mechanical engineering, can also be useful to researchers and professionals working in various allied and interdisciplinary fields.

Designing Distributed Control Systems presents 80 patterns for designing distributed machine control system software architecture (forestry machinery, mining drills, elevators, etc.). These patterns originate from state-of-the-art systems from market-leading companies, have been tried and tested, and will address typical challenges in the domain, such as long lifecycle, distribution, real-time and fault tolerance. Each pattern describes a separate design problem that needs to be solved. Solutions are provided, with consequences and trade-offs. Each solution will enable piecemeal growth of the design. Finding a solution is easy, as the patterns are divided into categories based on the problem field the pattern tackles. The design process is guided by different aspects of quality, such as performance and extendibility, which are included in the pattern descriptions. The book also contains an example software architecture designed by leading industry experts using the patterns in the book. The example system introduces the reader to the problem domain and demonstrates how the patterns can be used in a practical system design process. The example architecture shows how useful a toolbox the patterns provide for both novices and experts, guiding the system design process from its beginning to the finest details. Designing distributed machine control systems with patterns ensures high quality in the final product. High-quality systems will improve revenue and guarantee customer satisfaction. As market need changes, the desire to produce a quality machine is not only a primary concern, there is also a need for easy maintenance, to improve efficiency and productivity, as well as the growing importance of environmental values; these all impact machine design. The software of work machines needs to be designed with these new requirements in mind. Designing Distributed Control Systems presents patterns to help tackle these challenges. With proven methodologies from the expert author team, they show readers how to improve the quality and efficiency of distributed control systems.

Designed to give non-engineers an understanding of systems engineering, Systems Engineering Simplified presents a gentle introduction to the subject and its importance in any profession. The book shows you how to look at any system as a whole and use this knowledge to gain a better understanding of where a system might break down, how to troubleshoot the issues, and then quickly resolve them. And does it all in a way that does not require sophisticated technical training or complicated mathematics. The book takes a holistic approach to thinking about the complex systems, providing a deeper understanding of the underlying nature of the system and the vocabulary of systems engineering. The authors give you working knowledge of the processes used to design, build, test, operate, and maintain the systems that we depend on every day. They break down the systems engineering life cycle, describing in the simplest terms what should be done along the development process. Although there are many facets of systems engineering, it can be explained as focusing on addressing why a system is needed, what the system must do, and then how the system will accomplish the task over the entire life of the system-in that order. This fundamental review covers the processes from beginning to end, in plain language, giving you an overview of systems engineering that you can translate into your work in any field.