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Model Based Control
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Author :Paul M.J. van den Hof Publisher :Springer Science & Business Media ISBN 13 :1441908951 Total Pages :239 pages Book Rating :4.4/5 (419 download)
Book Synopsis Model-Based Control: by : Paul M.J. van den Hof
Download or read book Model-Based Control: written by Paul M.J. van den Hof and published by Springer Science & Business Media. This book was released on 2009-08-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and optimization of dynamical systems, with particular attention to the application domains of motion control systems (high-accuracy positioning systems) and large scale industrial process control systems.The book will be directed to academic and industrial people involved in research in systems and control, industrial process control and mechatronics.
Book Synopsis Techniques of Model-based Control by : Coleman Brosilow
Download or read book Techniques of Model-based Control written by Coleman Brosilow and published by Prentice Hall Professional. This book was released on 2002 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation In this book, two of the field's leading experts bring together powerful advances in model-based control for chemical process engineering. From start to finish, Coleman Brosilow and Babu Joseph introduce practical approaches designed to solve real-world problems -- not just theory. The book contains extensive examples and exercises, and an accompanying CD-ROM contains hands-on MATLAB files that supplement the examples and help readers solve the exercises -- a feature found in no other book on the topic.
Book Synopsis Model-Based Control of Networked Systems by : Eloy Garcia
Download or read book Model-Based Control of Networked Systems written by Eloy Garcia and published by Springer. This book was released on 2014-08-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.
Book Synopsis Model Based Control by : Paul Serban Agachi
Download or read book Model Based Control written by Paul Serban Agachi and published by John Wiley & Sons. This book was released on 2007-09-24 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.
Book Synopsis Model-Based Design for Effective Control System Development by : Wu, Wei
Download or read book Model-Based Design for Effective Control System Development written by Wu, Wei and published by IGI Global. This book was released on 2017-03-10 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control systems are an integral aspect of modern society and exist across numerous domains and applications. As technology advances more and more, the complexity of such systems continues to increase exponentially. Model-Based Design for Effective Control System Development is a critical source of scholarly information on model-centric approaches and implementations for control and other similar dynamic systems. Highlighting innovative topics such as configuration management, controllability analysis, and modeling requirements, this book is ideally designed for engineers, researchers, academics, project managers, and professionals interested in the design of embedded control systems.
Book Synopsis Tensor Product Model Transformation in Polytopic Model-Based Control by : Péter Baranyi
Download or read book Tensor Product Model Transformation in Polytopic Model-Based Control written by Péter Baranyi and published by CRC Press. This book was released on 2018-09-03 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a systematic modification and reshaping of the polytopic convex hull to achieve enhanced performance. Varying the convexity of the resulting TP canonical form is a key new feature of the approach. The book concentrates on reducing analytical derivations in the design process, echoing the recent paradigm shift on the acceptance of numerical solution as a valid form of output to control system problems. The salient features of the book include: Presents a new HOSVD-based canonical representation for (qLPV) models that enables trade-offs between approximation accuracy and computation complexity Supports a conceptually new control design methodology by proposing TP model transformation that offers a straightforward way of manipulating different types of convexity to appear in polytopic representation Introduces a numerical transformation that has the advantage of readily accommodating models described by non-conventional modeling and identification approaches, such as neural networks and fuzzy rules Presents a number of practical examples to demonstrate the application of the approach to generate control system design for complex (qLPV) systems and multiple control objectives. The authors’ approach is based on an extended version of singular value decomposition applicable to hyperdimensional tensors. Under the approach, trade-offs between approximation accuracy and computation complexity can be performed through the singular values to be retained in the process. The use of LMIs enables the incorporation of multiple performance objectives into the control design problem and assurance of a solution via convex optimization if feasible. Tensor Product Model Transformation in Polytopic Model-Based Control includes examples and incorporates MATLAB® Toolbox TPtool. It provides a reference guide for graduate students, researchers, engineers, and practitioners who are dealing with nonlinear systems control applications.
Book Synopsis Model-Based Control of a Robot Manipulator by : Chae H. An
Download or read book Model-Based Control of a Robot Manipulator written by Chae H. An and published by MIT Press (MA). This book was released on 1988-03-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first integrated treatment of many of the most important recent developments in using detailed dynamic models of robots to improve their control.
Book Synopsis Model-Based Tracking Control of Nonlinear Systems by : Elzbieta Jarzebowska
Download or read book Model-Based Tracking Control of Nonlinear Systems written by Elzbieta Jarzebowska and published by CRC Press. This book was released on 2016-04-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control algorithms for the models.The book's interdisciplinary approach illustr
Book Synopsis Model Based Fuzzy Control by : Rainer Palm
Download or read book Model Based Fuzzy Control written by Rainer Palm and published by Springer Science & Business Media. This book was released on 1997 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to model based fuzzy control; The FLC as a nonlinear transfer element; model based design of sliding mode FLC; Model based design of Takagi-Sugeno FLCs; References; Index.
Book Synopsis Model-Based Predictive Control by : J.A. Rossiter
Download or read book Model-Based Predictive Control written by J.A. Rossiter and published by CRC Press. This book was released on 2017-07-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Book Synopsis TP-Model Transformation-Based-Control Design Frameworks by : Péter Baranyi
Download or read book TP-Model Transformation-Based-Control Design Frameworks written by Péter Baranyi and published by Springer. This book was released on 2016-04-28 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers new aspects and frameworks of control, design, and optimization based on the TP model transformation and its various extensions. The author outlines the three main steps of polytopic and LMI based control design: 1) development of the qLPV state-space model, 2) generation of the polytopic model; and 3) application of LMI to derive controller and observer. He goes on to describe why literature has extensively studied LMI design, but has not focused much on the second step, in part because the generation and manipulation of the polytopic form was not tractable in many cases. The author then shows how the TP model transformation facilitates this second step and hence reveals new directions, leading to powerful design procedures and the formulation of new questions. The chapters of this book, and the complex dynamical control tasks which they cover, are organized so as to present and analyze the beneficial aspect of the family of approaches (control, design, and optimization). Additionally, the book aims to convey simple TP modeling; a new convex hull manipulation based possibilities for optimization; a general framework for stability analysis; standardized modeling and system description; relaxed and universal LMI based design framework; and a gateway to time-delayed systems.
Book Synopsis Model-based Process Supervision by : Arun Kumar Samantaray
Download or read book Model-based Process Supervision written by Arun Kumar Samantaray and published by Springer Science & Business Media. This book was released on 2008-03-14 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data. Several applications to academic and small-scale-industrial processes are discussed and the development of a supervision platform for an industrial plant is presented.
Book Synopsis Practical Control of Electric Machines by : Rubén Molina Llorente
Download or read book Practical Control of Electric Machines written by Rubén Molina Llorente and published by Springer Nature. This book was released on 2020-03-20 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents deep analysis of machine control for different applications, focusing on its implementation in embedded systems. Necessary peripherals for various microcontroller families are analysed for machine control and software architecture patterns for high-quality software development processes in motor control units are described. Abundant figures help the reader to understand the theoretical, simulation and practical implementation stages of machine control. Model-based design, used as a mathematical and visual approach to construction of complex control algorithms, code generation that eliminates hand-coding errors, and co-simulation tools such as Simulink, PSIM and finite element analysis are discussed. The simulation and verification tools refine, and retest the models without having to resort to prototype construction. The book shows how a voltage source inverter can be designed with tricks, protection elements, and space vector modulation. Practical Control of Electric Machines: Model-Based Design and Simulation is based on the author’s experience of a wide variety of systems in domestic, automotive and industrial environments, and most examples have implemented and verified controls. The text is ideal for readers looking for an insight into how electric machines play an important role in most real-life applications of control. Practitioners and students preparing for a career in control design applied in electric machines will benefit from the book’s easily understood theoretical approach to complex machine control. The book contains mathematics appropriate to various levels of experience, from the student to the academic and the experienced professional. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Book Synopsis Predictive Functional Control by : Jacques Richalet
Download or read book Predictive Functional Control written by Jacques Richalet and published by Springer Science & Business Media. This book was released on 2009-05-13 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: first industrial application of MPC was in 1973. A key motivation was to provide better performance than could be obtained with the widely-used PID controller whilst making it easy to replace the PID controller unit or module with his new algorithm. It was the advent of digital control technology and the use of software control algorithms that made this replacement easier and more acceptable to process engineers. A decade of industrial practice with PFC was reported in the archival literature by Jacques Richalet et al. in 1978 in an important seminal Automatica paper. Around this time, Cutler and Ramaker published the dynamic matrix control algorithm that also used knowledge of future reference signals to determine a sequence of control signal adjustment. Thus, the theoretical and practical development of predictive control methods was underway and subsequent developments included those of generalized predictive control, and the whole armoury of MPC methods. Jacques Richalet’s approach to PFC was to seek an algorithm that was: • easy to understand; • easy to install; • easy to tune and optimise. He sought a new modular control algorithm that could be readily used by the control-technician engineer or the control-instrument engineer. It goes without saying that this objective also forms a good market strategy.
Book Synopsis Mechanism, Machine, Robotics and Mechatronics Sciences by : Rany Rizk
Download or read book Mechanism, Machine, Robotics and Mechatronics Sciences written by Rany Rizk and published by Springer. This book was released on 2018-05-24 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the First International Congress for the Advancement of Mechanism, Machine, Robotics and Mechatronics Sciences (ICAMMRMS-2017), held in Beirut, Lebanon, October 2017. The book consists of twenty papers in six different fields covering multiple angles of machine and robotics sciences: mechanical design, control, structural synthesis, vibration study, and manufacturing. This volume is of interest to mechanical as well as electrical engineers.
Book Synopsis Automotive Model Predictive Control by : Luigi Del Re
Download or read book Automotive Model Predictive Control written by Luigi Del Re and published by Springer. This book was released on 2010-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.
