The book Control Theory Fundamentals was compiled from the materials of a popular series of industrial seminars in control theory. The principal objective of the seminar was to present the fundamentals of control theory in a way accessible to practising engineers whose principal area of expertise often lay elsewhere. In addition to providing a resource for those attending the seminar, the book will be of interest to the wider audience of students and engineers who need to apply control theory in the course of their studies or work. The book provides a readable introduction to control of both continuous time and discrete time systems. The first four chapters of the book cover classical methods using transfer functions, while the remaining chapters cover analysis and design using state space methods. Worked examples are included to illustrate key topics in each section. The book contains five appendices; a review of matrix algebra, reference tables of Laplace and z transforms, supporting Matlab scripts, and a case study in controller design using state space methods.
This book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphasis is placed on topics of importance for industrial applications, including self-tuning of fuzzy controllers, optimisation and stability analysis. The text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date research results.
This open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches. Electronic codes for this title can be downloaded from https://extras.springer.com/?query=978-3-319-91707-8
Taking a different approach from standard thousand-page reference-style control textbooks, Fundamentals of Linear Control provides a concise yet comprehensive introduction to the analysis and design of feedback control systems in fewer than 400 pages. The text focuses on classical methods for dynamic linear systems in the frequency domain. The treatment is, however, modern and the reader is kept aware of contemporary tools and techniques, such as state space methods and robust and nonlinear control. Featuring fully worked design examples, richly illustrated chapters, and an extensive set of homework problems and examples spanning across the text for gradual challenge and perspective, this textbook is an excellent choice for senior-level courses in systems and control or as a complementary reference in introductory graduate level courses. The text is designed to appeal to a broad audience of engineers and scientists interested in learning the main ideas behind feedback control theory.
An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. Its explorations of recent developments in the field emphasize the relationship of new procedures to classical control theory, with a focus on single input and output systems that keeps concepts accessible to students with limited backgrounds. The text is geared toward a single-semester senior course or a graduate-level class for students of electrical engineering. The opening chapters constitute a basic treatment of feedback design. Topics include a detailed formulation of the control design program, the fundamental issue of performance/stability robustness tradeoff, and the graphical design technique of loopshaping. Subsequent chapters extend the discussion of the loopshaping technique and connect it with notions of optimality. Concluding chapters examine controller design via optimization, offering a mathematical approach that is useful for multivariable systems.
This book aims to bring together the latest innovative knowledge, analysis, and synthesis of fractional control problems of nonlinear systems as well as some related applications. Fractional order systems (FOS) are dynamical systems that can be modelled by a fractional differential equation carried with a non-integer derivative. In the last few decades, the growth of science and engineering systems has considerably stimulated the employment of fractional calculus in many subjects of control theory, for example, in stability, stabilization, controllability, observability, observer design, and fault estimation. The application of control theory in FOS is an important issue in many engineering applications. So, to accurately describe these systems, the fractional order differential equations have been introduced.
Reviews of first edition: “This book tells every healthcare professional all they need to know about infection control... A user-friendly, valuable source of knowledge on a subject that can be confusing and complicated.” Nursing Standard “A valuable contribution within any health or social environment." Journal of Community Nursing Infection prevention and control is an essential component of nursing care, and a crucially important subject area for both nursing students and qualified nurses. Fundamentals of Infection Prevention and Control gives readers a firm grasp of the principles of infection control, how they relate to clinical practice and the key issues surrounding the subject. It provides a comprehensive guide to the prevention, management and control of healthcare associated infections, and the basic elements of microbiology, immunology and epidemiology that underpin them. Thoroughly revised in line with current policy, this new edition contains brand-new chapters on a range of topics including the role of the Infection Prevention and Control Team, audit and surveillance, and the management of outbreaks. Also incorporating a range of case studies and examples as well as additional online content, it is essential reading for all nursing students as well as qualified nursing and healthcare professionals. Explores both principles and practice of a crucial subject area Accessible and user-friendly, with a range of features to help study including key definitions, links back to clinical practice, and chapter learning outcomes and summaries Accompanied by an online resource centre featuring MCQs, weblinks, case scenarios and downloadable fact sheets Features an increased clinical focus, with more application to practice This title is also available: as a Wiley E-Text, powered by VitalSource: an interactive digital version of the book featuring downloadable text and images, highlighting and note-taking facilities, book-marking, cross-referencing, in-text searching, and linking to references and glossary terms instantly on CourseSmart at www.coursesmart.co.uk/9781118306659. CourseSmart offers extra functionality, as well as an immediate way to review the text. For more details, visit www.coursesmart.com/instructors or www.coursesmart.com/students
Motor control is a relatively young field of research exploring how the nervous system produces purposeful, coordinated movements in its interaction with the body and the environment through conscious and unsconscious thought. Many books purporting to cover motor control have veered off course to examine biomechanics and physiology rather than actual control, leaving a gap in the literature. This book covers all the major perspectives in motor control, with a balanced approach. There are chapters explicitly dedicated to control theory, to dynamical systems, to biomechanics, to different behaviors, and to motor learning, including case studies. Reviews current research in motor control Contains balanced perspectives among neuroscience, psychology, physics and biomechanics Highlights controversies in the field Discusses neurophysiology, control theory, biomechanics, and dynamical systems under one cover Links principles of motor control to everyday behaviors Includes case studies delving into topics in more detail
In the late 1950's, the group of Soviet mathematicians consisting of L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, and E. F. Mishchenko made fundamental contributions to optimal control theory. Much of their work was collected in their monograph, The Mathematical Theory of Optimal Processes. Subsequently, Professor Gamkrelidze made further important contributions to the theory of necessary conditions for problems of optimal control and general optimization problems. In the present monograph, Professor Gamkrelidze presents his current view of the fundamentals of optimal control theory. It is intended for use in a one-semester graduate course or advanced undergraduate course. We are now making these ideas available in English to all those interested in optimal control theory. West Lafayette, Indiana, USA Leonard D. Berkovitz Translation Editor Vll Preface This book is based on lectures I gave at the Tbilisi State University during the fall of 1974. It contains, in essence, the principles of general control theory and proofs of the maximum principle and basic existence theorems of optimal control theory. Although the proofs of the basic theorems presented here are far from being the shortest, I think they are fully justified from the conceptual view point. In any case, the notions we introduce and the methods developed have one unquestionable advantage -they are constantly used throughout control theory, and not only for the proofs of the theorems presented in this book.
Do you know why repeatability is more important than accuracy? Do you know what makes a closed-tank system simpler than an open tank? What determines the rate of flow through a control valve? How might 'dead time' affect a paper mill machine? How would you evaluate a vendor's online adaptive-tuning system? After reading Paul Murrill's Fundamentals of Process Control Theory, 3rd Edition, you'll know how to find the answer to questions like these, and many more advanced concepts you can apply to your day-to-day work. ISA's all-time best-selling book is now updated and expanded, offering a time-tested way for you to teach yourself the complexities of process control theory. Fundamentals of Process Control Theory has long been praised for its clear, stylish presentation of the basic principles of process automation and its excellent overview of advanced control techniques. More than just a reference book, it's a complete course in the subject, with exercises and answers to work through.Now, not only has the author updated it to reflect the most recent changes in technology, he has also incorporated material from his much-praised ISA book on putting the theory into practice: Application Concepts of Process Control. Both theoretical and practical, this guide allows readers to teach themselves the fundamental scientific principles that govern process control, particularly feedback control. Its 17 self-study units provide a solid foundation in theory, as well as a discussion of recent technologies such as computer-integrated manufacturing, statistical process control and expert systems. New chapters focus on the conceptual framework for an application, offering a practical understanding of the theory, along with specific illustrations on how concepts are implemented.Contents: Introduction and Overview Basic Control Concepts Functional Structure of Feedback Control Sensors and Transmission Systems Typical Measurements Controllers Control Valves Process Dynamics Tuning Control Systems Cascade Control Feedforward and Multivariable Control Special Purpose Concepts Dead Time Control Nonlinear Compensation and Adaptive Control Sequential Control Modern Control System Architecture New Directions for Process Control Glossary Index.
