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Author : Sin-Sup Cho
Publisher :
ISBN 13 :
Total Pages : 382 pages
Book Rating : 4.:/5 (89 download)
Download or read book Robust Model-free Prediction and Control written by Sin-Sup Cho and published by . This book was released on 1984 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Basil Kouvaritakis
Publisher : Springer
ISBN 13 : 3319248537
Total Pages : 387 pages
Book Rating : 4.3/5 (192 download)
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.
Author : Krzysztof Patan
Publisher : Springer
ISBN 13 : 303011869X
Total Pages : 231 pages
Book Rating : 4.0/5 (31 download)
Download or read book Robust and Fault-Tolerant Control written by Krzysztof Patan and published by Springer. This book was released on 2019-03-16 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include: a comprehensive review of neural network architectures with possible applications in system modelling and control; a concise introduction to robust and fault-tolerant control; step-by-step presentation of the control approaches proposed; an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and a large number of figures and tables facilitating the performance analysis of the control approaches described. The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.
Author : University of Wisconsin--Madison. Department of Statistics
Publisher :
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.:/5 (891 download)
Download or read book Technical Report written by University of Wisconsin--Madison. Department of Statistics and published by . This book was released on 1972 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Hammerstein
Publisher : MIT Press
ISBN 13 : 0262551500
Total Pages : 447 pages
Book Rating : 4.2/5 (625 download)
Download or read book Evolution and the Mechanisms of Decision Making written by Peter Hammerstein and published by MIT Press. This book was released on 2024-03-19 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary examination of cognitive mechanisms, shaped over evolutionary time through natural selection, that govern decision making. How do we make decisions? Conventional decision theory tells us only which behavioral choices we ought to make if we follow certain axioms. In real life, however, our choices are governed by cognitive mechanisms shaped over evolutionary time through the process of natural selection. Evolution has created strong biases in how and when we process information, and it is these evolved cognitive building blocks—from signal detection and memory to individual and social learning—that provide the foundation for our choices. An evolutionary perspective thus sheds necessary light on the nature of how we and other animals make decisions. This volume—with contributors from a broad range of disciplines, including evolutionary biology, psychology, economics, anthropology, neuroscience, and computer science—offers a multidisciplinary examination of what evolution can tell us about our and other animals' mechanisms of decision making. Human children, for example, differ from chimpanzees in their tendency to over-imitate others and copy obviously useless actions; this divergence from our primate relatives sets up imitation as one of the important mechanisms underlying human decision making. The volume also considers why and when decision mechanisms are robust, why they vary across individuals and situations, and how social life affects our decisions.
Author : Petros Ioannou
Publisher : Courier Corporation
ISBN 13 : 0486320723
Total Pages : 850 pages
Book Rating : 4.4/5 (863 download)
Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.
Author : Christodoulos A. Floudas
Publisher : Springer Science & Business Media
ISBN 13 : 0387747583
Total Pages : 4646 pages
Book Rating : 4.3/5 (877 download)
Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".
Author : Baocang Ding
Publisher : John Wiley & Sons
ISBN 13 : 1119471397
Total Pages : 308 pages
Book Rating : 4.1/5 (194 download)
Download or read book Model Predictive Control written by Baocang Ding and published by John Wiley & Sons. This book was released on 2024-07-22 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the practical side of controlling industrial processes Model Predictive Control (MPC) is a method for controlling a process according to given parameters, derived in many cases from empirical models. It has been widely applied in industrial units to increase revenue and promoting sustainability. Systematic overviews of this subject, however, are rare, and few draw on direct experience in industrial settings. Industrial Model Predictive Control fills this obvious gap with a detailed treatment balancing theory and practice. Assuming basic knowledge of the relevant mathematical and algebraic modeling techniques, it combines foundational theories of MPC with a thorough sense of its practical applications in an industrial context. The result is a presentation uniquely suited to rapid incorporation in an industrial workplace. Industrial Model Predictive Control readers will also find: Two-part organization to balance theory and applications Selection of topics directly driven by industrial demand An author with decades of experience in both teaching and industrial practice Industrial Model Predictive Control is ideal for industrial control engineers and researchers looking to understand MPC technology, as well as advanced undergraduate and graduate students studying predictive control and related subjects.
Author : Johan Löfberg
Publisher : Linköping University Electronic Press
ISBN 13 : 9173736228
Total Pages : 212 pages
Book Rating : 4.1/5 (737 download)
Download or read book Minimax Approaches to Robust Model Predictive Control written by Johan Löfberg and published by Linköping University Electronic Press. This book was released on 2003-04-11 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Controlling a system with control and state constraints is one of the most important problems in control theory, but also one of the most challenging. Another important but just as demanding topic is robustness against uncertainties in a controlled system. One of the most successful approaches, both in theory and practice, to control constrained systems is model predictive control (MPC). The basic idea in MPC is to repeatedly solve optimization problems on-line to find an optimal input to the controlled system. In recent years, much effort has been spent to incorporate the robustness problem into this framework. The main part of the thesis revolves around minimax formulations of MPC for uncertain constrained linear discrete-time systems. A minimax strategy in MPC means that worst-case performance with respect to uncertainties is optimized. Unfortunately, many minimax MPC formulations yield intractable optimization problems with exponential complexity. Minimax algorithms for a number of uncertainty models are derived in the thesis. These include systems with bounded external additive disturbances, systems with uncertain gain, and systems described with linear fractional transformations. The central theme in the different algorithms is semidefinite relaxations. This means that the minimax problems are written as uncertain semidefinite programs, and then conservatively approximated using robust optimization theory. The result is an optimization problem with polynomial complexity. The use of semidefinite relaxations enables a framework that allows extensions of the basic algorithms, such as joint minimax control and estimation, and approx- imation of closed-loop minimax MPC using a convex programming framework. Additional topics include development of an efficient optimization algorithm to solve the resulting semidefinite programs and connections between deterministic minimax MPC and stochastic risk-sensitive control. The remaining part of the thesis is devoted to stability issues in MPC for continuous-time nonlinear unconstrained systems. While stability of MPC for un-constrained linear systems essentially is solved with the linear quadratic controller, no such simple solution exists in the nonlinear case. It is shown how tools from modern nonlinear control theory can be used to synthesize finite horizon MPC controllers with guaranteed stability, and more importantly, how some of the tech- nical assumptions in the literature can be dispensed with by using a slightly more complex controller.
Author : Institute of Mathematical Statistics
Publisher :
ISBN 13 :
Total Pages : 646 pages
Book Rating : 4.:/5 (42 download)
Download or read book Bulletin - Institute of Mathematical Statistics written by Institute of Mathematical Statistics and published by . This book was released on 1991 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eduardo F. Camacho
Publisher : Springer Science & Business Media
ISBN 13 : 0857293982
Total Pages : 405 pages
Book Rating : 4.8/5 (572 download)
Download or read book Model Predictive Control written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2013-01-10 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.
Author : Vicenc Puig
Publisher : John Wiley & Sons
ISBN 13 : 1789450594
Total Pages : 290 pages
Book Rating : 4.7/5 (894 download)
Download or read book Diagnosis and Fault-tolerant Control Volume 2 written by Vicenc Puig and published by John Wiley & Sons. This book was released on 2021-12-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in fault diagnosis and fault-tolerant control of dynamic processes. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique and sustainable control, especially for those demanding systems that require reliability, availability, maintainability, and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical. Diagnosis and Fault-tolerant Control 2 also presents and compares different fault diagnosis and fault-tolerant schemes, using well established, innovative strategies for modeling the behavior of the dynamic process under investigation. An updated treatise of diagnosis and fault-tolerant control is addressed with the use of essential and advanced methods including signal-based, model-based and data-driven techniques. Another key feature is the application of these methods for dealing with robustness and reliability.
Author : Jose Gregorio Ramirez
Publisher :
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.:/5 (89 download)
Download or read book Sequential Methods in Statistical Process Monitoring written by Jose Gregorio Ramirez and published by . This book was released on 1989 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alexander N. Gorban
Publisher : Springer Science & Business Media
ISBN 13 : 3642149413
Total Pages : 356 pages
Book Rating : 4.6/5 (421 download)
Download or read book Coping with Complexity: Model Reduction and Data Analysis written by Alexander N. Gorban and published by Springer Science & Business Media. This book was released on 2010-10-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction and Data Analysis", Ambleside, UK, August 31 – September 4, 2009. The book is deliberately broad in scope and aims at promoting new ideas and methodological perspectives. The topics of the chapters range from theoretical analysis of complex and multiscale mathematical models to applications in e.g., fluid dynamics and chemical kinetics.
Author : Zhong-Ping Jiang
Publisher : Springer Nature
ISBN 13 : 3030746283
Total Pages : 291 pages
Book Rating : 4.0/5 (37 download)
Download or read book Trends in Nonlinear and Adaptive Control written by Zhong-Ping Jiang and published by Springer Nature. This book was released on 2021-09-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, published in honor of Professor Laurent Praly on the occasion of his 65th birthday, explores the responses of some leading international authorities to new challenges in nonlinear and adaptive control. The mitigation of the effects of uncertainty and nonlinearity – ubiquitous features of real-world engineering and natural systems – on closed-loop stability and robustness being of crucial importance, the contributions report the latest research into overcoming these difficulties in: autonomous systems; reset control systems; multiple-input–multiple-output nonlinear systems; input delays; partial differential equations; population games; and data-driven control. Trends in Nonlinear and Adaptive Control presents research inspired by and related to Professor Praly’s lifetime of contributions to control theory and is a valuable addition to the literature of advanced control.
Author : Vassilis S. Kodogiannis
Publisher : MDPI
ISBN 13 : 3039217607
Total Pages : 116 pages
Book Rating : 4.0/5 (392 download)
Download or read book Applications of Computational Intelligence to Power Systems written by Vassilis S. Kodogiannis and published by MDPI. This book was released on 2019-11-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.
Author : V. Suma
Publisher : Springer Nature
ISBN 13 : 9819916240
Total Pages : 876 pages
Book Rating : 4.8/5 (199 download)
Download or read book Inventive Systems and Control written by V. Suma and published by Springer Nature. This book was released on 2023-06-14 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 30–31, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.
