Author: Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 944
Book Description
Proceedings of the Joint Automatic Control Conference
Author: Proceedings of the Joint Automatic Control Conference
Author: Joint Automatic Control Conference
Author: American Institute of Chemical EngineersPublisher: Amer Inst of Chemical Engineers
ISBN: 9780816901920
Category :
Languages : en
Pages : 850
Book Description
Mathematical Control Theory
Author: John B. BaillieulPublisher: Springer Science & Business Media
ISBN: 1461214165
Category : Mathematics
Languages : en
Pages : 389
Book Description
This volume on mathematical control theory contains high quality articles covering the broad range of this field. The internationally renowned authors provide an overview of many different aspects of control theory, offering a historical perspective while bringing the reader up to the very forefront of current research.
Joint Automatic Control Conference
Author: American Institute of Chemical EngineersPublisher:
ISBN: 9780816900510
Category :
Languages : en
Pages : 923
Book Description
Proceedings of the 1981 Joint Automatic Control Conference, June 17-19, 1981, University of Virginia, Charlottesville, Virginia
Author: Advances in Statistical Control, Algebraic Systems Theory, and Dynamic Systems Characteristics
Author: Chang-Hee WonPublisher: Springer Science & Business Media
ISBN: 0817647953
Category : Mathematics
Languages : en
Pages : 368
Book Description
This volume is a collection of chapters covering recent advances in stochastic optimal control theory and algebraic systems theory. The book will be a useful reference for researchers and graduate students in systems and control, algebraic systems theory, and applied mathematics. Requiring only knowledge of undergraduate-level control and systems theory, the work may be used as a supplementary textbook in a graduate course on optimal control or algebraic systems theory.
Proceedings of the Joint Automatic Control Conference, 1974
Author: Multivariable Predictive Control
Author: Sandip K. LahiriPublisher: John Wiley & Sons
ISBN: 1119243513
Category : Technology & Engineering
Languages : en
Pages : 304
Book Description
A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operations on an ongoing basis. Companies, worldwide, across a range of industries are successfully using MPC systems to optimise materials and utility consumption, reduce waste, minimise pollution, and maximise production. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors’ reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature. Provides a cost-benefit analysis of typical MPC projects and reviews commercially available MPC software packages Details software implementation steps, as well as techniques for successfully evaluating and monitoring software performance once it has been installed Features case studies and real-world examples from industries, worldwide, illustrating the advantages and common pitfalls of MPC systems Describes MPC application failures in an array of companies, exposes the root causes of those failures, and offers proven safeguards and corrective measures for avoiding similar failures Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering.
Distributed Model Predictive Control for Plant-Wide Systems
Author: Shaoyuan LiPublisher: John Wiley & Sons
ISBN: 1118921569
Category : Science
Languages : en
Pages : 329
Book Description
DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS DISTRIBUTED MODEL PREDICTIVE CONTROL FOR PLANT-WIDE SYSTEMS In this book, experienced researchers gave a thorough explanation of distributed model predictive control (DMPC): its basic concepts, technologies, and implementation in plant-wide systems. Known for its error tolerance, high flexibility, and good dynamic performance, DMPC is a popular topic in the control field and is widely applied in many industries. To efficiently design DMPC systems, readers will be introduced to several categories of coordinated DMPCs, which are suitable for different control requirements, such as network connectivity, error tolerance, performance of entire closed-loop systems, and calculation of speed. Various real-life industrial applications, theoretical results, and algorithms are provided to illustrate key concepts and methods, as well as to provide solutions to optimize the global performance of plant-wide systems. Features system partition methods, coordination strategies, performance analysis, and how to design stabilized DMPC under different coordination strategies. Presents useful theories and technologies that can be used in many different industrial fields, examples include metallurgical processes and high-speed transport. Reflects the authors’ extensive research in the area, providing a wealth of current and contextual information. Distributed Model Predictive Control for Plant-Wide Systems is an excellent resource for researchers in control theory for large-scale industrial processes. Advanced students of DMPC and control engineers will also find this as a comprehensive reference text.