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Iee Colloquium On Model Predictive Control
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Book Synopsis 2021 International Conference on Electrical Drives and Power Electronics (EDPE) by : IEEE Staff
Download or read book 2021 International Conference on Electrical Drives and Power Electronics (EDPE) written by IEEE Staff and published by . This book was released on 2021-09-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The EDPE conference series brings opportunity for engineers, specialists in industry and academia to create forum for sharing knowledge and exchange experiences on recent development, applications and future trends in all aspects of power electronic systems, electrical machines, electrical drives and their industrial applications
Book Synopsis Cable-Driven Parallel Robots by : Tobias Bruckmann
Download or read book Cable-Driven Parallel Robots written by Tobias Bruckmann and published by Springer Science & Business Media. This book was released on 2012-09-09 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gathering presentations to the First International Conference on Cable-Driven Parallel Robots, this book covers classification and definition, kinematics, workspace analysis, cable modeling, hardware/prototype development, control and calibration and more.
Book Synopsis Predictive Control of Power Converters and Electrical Drives by : Jose Rodriguez
Download or read book Predictive Control of Power Converters and Electrical Drives written by Jose Rodriguez and published by Wiley-IEEE Press. This book was released on 2012-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drives The book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four - Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic. Unique in presenting a completely new theoretic solution to control electric power in a simple way Discusses the application of predictive control in motor drives, with several examples and case studies Matlab is included on a complementary website so the reader can run their own simulations
Book Synopsis Model Predictive Control of Wind Energy Conversion Systems by : Venkata Yaramasu
Download or read book Model Predictive Control of Wind Energy Conversion Systems written by Venkata Yaramasu and published by John Wiley & Sons. This book was released on 2016-11-23 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems. The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book: Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission. Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.
Book Synopsis Model Predictive Control by : Basil Kouvaritakis
Download or read book Model Predictive Control written by Basil Kouvaritakis and published by Springer. This book was released on 2015-12-01 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stochastic model uncertainty. The book provides: extensive use of illustrative examples; sample problems; and discussion of novel control applications such as resource allocation for sustainable development and turbine-blade control for maximized power capture with simultaneously reduced risk of turbulence-induced damage. Graduate students pursuing courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment will find Model Predictive Control an invaluable guide to the state of the art in this important subject. For the instructor it provides an authoritative resource for the construction of courses.
Book Synopsis Handbook of Model Predictive Control by : Saša V. Raković
Download or read book Handbook of Model Predictive Control written by Saša V. Raković and published by Springer. This book was released on 2018-09-01 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.
Book Synopsis Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering by : Cungang Hu
Download or read book Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering written by Cungang Hu and published by Springer Nature. This book was released on 2023-08-02 with total page 1326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will be a collection of the conference manuscripts presented at the 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering covering new and renewable energy, electrical and power engineering. It is expected to report the latest technological developments in the fields developed by academic researchers and industrial practitioners. The application and dissemination of these technologies will benefit the research community, as new research directions are becoming increasingly interdisciplinary, requiring researchers from different research areas to come together and share ideas. It will also benefit the electrical engineering and energy industry, as we are now experiencing a new wave of industrial revolution, i.e. the electrification, intelligentisation and digitalisation of our transport, manufacturing processes and way of thinking.
Book Synopsis Conference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering by : Cungang Hu
Download or read book Conference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering written by Cungang Hu and published by Springer Nature. This book was released on with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of 2023 Chinese Intelligent Systems Conference by : Yingmin Jia
Download or read book Proceedings of 2023 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on 2023-11-05 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14–15, 2023, in Ningbo, Zhejiang, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behavior, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of aerial vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.
Book Synopsis Integration of Low Carbon Technologies in Smart Grids by : Donato Zarrilli
Download or read book Integration of Low Carbon Technologies in Smart Grids written by Donato Zarrilli and published by Springer. This book was released on 2018-08-10 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis provides different opportunities and ideas to face some current challenges in the electricity systems. It focuses on the effective and efficient integration of distributed low carbon technologies in the grid of the future. Planning and operation problems for different clean solutions, such as market bidding strategies for intermittent energy producers, demand side management algorithms for smart buildings, and electrical storage options for network operators, are studied for facilitating the integration of renewable energy sources in the power system chain.
Book Synopsis Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control by : Qing Wang
Download or read book Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control written by Qing Wang and published by Springer Nature. This book was released on with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Model Predictive Vibration Control by : Gergely Takács
Download or read book Model Predictive Vibration Control written by Gergely Takács and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility. In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as: · the implementation of computationally efficient algorithms · control strategies in simulation and experiment and · typical hardware requirements for piezoceramics actuated smart structures. The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.
Book Synopsis Nonlinear Industrial Control Systems by : Michael J. Grimble
Download or read book Nonlinear Industrial Control Systems written by Michael J. Grimble and published by Springer Nature. This book was released on 2020-05-19 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.
Book Synopsis Control Performance Management in Industrial Automation by : Mohieddine Jelali
Download or read book Control Performance Management in Industrial Automation written by Mohieddine Jelali and published by Springer Science & Business Media. This book was released on 2012-10-31 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control Performance Management in Industrial Automation provides a coherent and self-contained treatment of a group of methods and applications of burgeoning importance to the detection and solution of problems with control loops that are vital in maintaining product quality, operational safety, and efficiency of material and energy consumption in the process industries. The monograph deals with all aspects of control performance management (CPM), from controller assessment (minimum-variance-control-based and advanced methods), to detection and diagnosis of control loop problems (process non-linearities, oscillations, actuator faults), to the improvement of control performance (maintenance, re-design of loop components, automatic controller re-tuning). It provides a contribution towards the development and application of completely self-contained and automatic methodologies in the field. Moreover, within this work, many CPM tools have been developed that goes far beyond available CPM packages. Control Performance Management in Industrial Automation: · presents a comprehensive review of control performance assessment methods; · develops methods and procedures for the detection and diagnosis of the root-causes of poor performance in complex control loops; · covers important issues that arise when applying these assessment and diagnosis methods; · recommends new approaches and techniques for the optimization of control loop performance based on the results of the control performance stage; and · offers illustrative examples and industrial case studies drawn from – chemicals, building, mining, pulp and paper, mineral and metal processing industries. This book will be of interest to academic and industrial staff working on control systems design, maintenance or optimisation in all process industries.
Book Synopsis Algorithmic Foundations of Robotics XV by : Steven M. LaValle
Download or read book Algorithmic Foundations of Robotics XV written by Steven M. LaValle and published by Springer Nature. This book was released on 2022-12-14 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes significant recent research on robotic algorithms. It has been written by leading experts in the field. The 15th Workshop on the Algorithmic Foundations of Robotics (WAFR) was held on June 22–24, 2022, at the University of Maryland, College Park, Maryland. Each chapter represents an exciting state-of-the-art development in robotic algorithms that was presented at this 15th incarnation of WAFR. Different chapters combine ideas from a wide variety of fields, spanning and combining planning (for tasks, paths, motion, navigation, coverage, and patrol), computational geometry and topology, control theory, machine learning, formal methods, game theory, information theory, and theoretical computer science. Many of these papers explore new and interesting problems and problem variants that include human–robot interaction, planning and reasoning under uncertainty, dynamic environments, distributed decision making, multi-agent coordination, and heterogeneity.
Book Synopsis Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 by : Aboul Ella Hassanien
Download or read book Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 written by Aboul Ella Hassanien and published by Springer. This book was released on 2016-10-20 with total page 933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI2016), which took place in Cairo, Egypt during October 24–26, 2016. This international interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE) and sponsored by the IEEE Computational Intelligence Society (Egypt chapter) and the IEEE Robotics and Automation Society (Egypt Chapter). The book’s content is divided into four main sections: Intelligent Language Processing, Intelligent Systems, Intelligent Robotics Systems, and Informatics.
Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho
Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.
