Extremum-Seeking Control and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9781447122241
Total Pages : 201 pages
Book Rating : 4.1/5 (222 download)

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Book Synopsis Extremum-Seeking Control and Applications by : Chunlei Zhang

Download or read book Extremum-Seeking Control and Applications written by Chunlei Zhang and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis. Extremum-seeking Control and Applications is divided into two parts. In the first, the authors review existing analog-optimization-based extremum-seeking control including gradient-, perturbation- and sliding-mode-based control designs. They then propose a novel numerical-optimization-based extremum-seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems. The two main optimization algorithms – line search and trust region methods – are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement and tends to be more robust than those that use perturbation-based extremum-seeking control. The second part of the book deals with a variety of applications of extremum-seeking control: a comparative study of extremum-seeking control schemes in antilock braking system design; source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents; mobile radar networks; and impedance matching. MATLAB®/Simulink® code which can be downloaded from www.springer.com/ISBN helps readers to reproduce the results presented in the text and gives them a head start for implementing the algorithms in their own applications. Extremum-seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.

Learning-Based Adaptive Control

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Author :
Publisher : Butterworth-Heinemann
ISBN 13 : 0128031514
Total Pages : 282 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Learning-Based Adaptive Control by : Mouhacine Benosman

Download or read book Learning-Based Adaptive Control written by Mouhacine Benosman and published by Butterworth-Heinemann. This book was released on 2016-08-02 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained. Includes a good number of Mechatronics Examples of the techniques. Compares and blends Model-free and Model-based learning algorithms. Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.

Real-Time Optimization by Extremum-Seeking Control

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471468592
Total Pages : 254 pages
Book Rating : 4.4/5 (685 download)

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Book Synopsis Real-Time Optimization by Extremum-Seeking Control by : Kartik B. Ariyur

Download or read book Real-Time Optimization by Extremum-Seeking Control written by Kartik B. Ariyur and published by John Wiley & Sons. This book was released on 2003-10-03 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-close look at the theory behind and application of extremum seeking Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today's neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization. Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: * Develops optimization theory from the points of dynamic feedback and adaptation * Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques * Provides a collection of useful tools for problems in this complex area * Presents numerous applications of this powerful methodology * Demonstrates the immense potential of this methodology for future theory development and applications Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering-electrical, mechanical, aerospace, chemical, biomedical-and is also a valuable reference for practicing control engineers.

Model-Free Stabilization by Extremum Seeking

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Publisher : Springer
ISBN 13 : 3319507907
Total Pages : 127 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Model-Free Stabilization by Extremum Seeking by : Alexander Scheinker

Download or read book Model-Free Stabilization by Extremum Seeking written by Alexander Scheinker and published by Springer. This book was released on 2016-12-23 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but in a time-average sense. Rather than use integrals of the systems vector field, we employ Lie-bracket-based (i.e., derivative-based) averaging. The brief contains numerous examples and applications, including examples with unknown control directions and experiments with charged particle accelerators. It is intended for theoretical control engineers and mathematicians, and practitioners working in various industrial areas and in robotics.

Real Time Optimization by Extremum Seeking Control

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Publisher :
ISBN 13 : 9780471669791
Total Pages : 236 pages
Book Rating : 4.6/5 (697 download)

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Book Synopsis Real Time Optimization by Extremum Seeking Control by : Kartik B. Ariyur

Download or read book Real Time Optimization by Extremum Seeking Control written by Kartik B. Ariyur and published by . This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's description: Extremum seeking is a method of adaptive control outside the classical paradigm or model reference and related schemes. The unique feature of extremum seeking as an optimization tool is that is is an on-line methodology, performed by feedback, and with the ability to achieve rapid convergence. A second distinction between classical adaptive control and extremum seeking is that the latter is not model based. Its non-model based character explains the remarkable popularity of extremum seeking in the last half decade: the recent applications in fluid flow combustion, and biomedical systems are all characterized by complex, unreliable models. Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential.

Extremum Seeking Through Delays and PDEs

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Publisher : SIAM
ISBN 13 : 1611977355
Total Pages : 461 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Extremum Seeking Through Delays and PDEs by : Tiago Roux Oliveira

Download or read book Extremum Seeking Through Delays and PDEs written by Tiago Roux Oliveira and published by SIAM. This book was released on 2022-12-05 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremum Seeking through Delays and PDEs, the first book on the topic, expands the scope of applicability of the extremum seeking method, from static and finite-dimensional systems to infinite-dimensional systems. Readers will find numerous algorithms for model-free real-time optimization are developed and their convergence guaranteed, extensions from single-player optimization to noncooperative games, under delays and PDEs, are provided, the delays and PDEs are compensated in the control designs using the PDE backstepping approach, and stability is ensured using infinite-dimensional versions of averaging theory, and accessible and powerful tools for analysis. This book is intended for control engineers in all disciplines (electrical, mechanical, aerospace, chemical), mathematicians, physicists, biologists, and economists. It is appropriate for graduate students, researchers, and industrial users.

Advanced Intelligent Computing Theories and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642149219
Total Pages : 707 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advanced Intelligent Computing Theories and Applications by : De-Shuang Huang

Download or read book Advanced Intelligent Computing Theories and Applications written by De-Shuang Huang and published by Springer Science & Business Media. This book was released on 2010-07-30 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Computing, ICIC 2010, held in Changsha, China, in August 2010. The 85 revised full papers presented were carefully reviewed and selected from a numerous submissions. The papers are organized in topical sections on neural networks, evolutionary learning & genetic algorithms, fuzzy theory and models, fuzzy systems and soft computing, particle swarm optimization and niche technology, supervised & semi-supervised learning, unsupervised & reinforcement learning, combinatorial & numerical optimization, systems biology and computational biology, neural computing and optimization, nature inspired computing and optimization, knowledge discovery and data mining, artificial life and artificial immune systems, intelligent computing in image processing, special session on new hand based biometric methods, special session on recent advances in image segmentation, special session on theories and applications in advanced intelligent computing, special session on search based software engineering, special session on bio-inspired computing and applications, special session on advance in dimensionality reduction methods and its applications, special session on protein and gene bioinformatics: methods and applications.

Microgrid Architectures, Control and Protection Methods

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Publisher : Springer
ISBN 13 : 3030237230
Total Pages : 781 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Microgrid Architectures, Control and Protection Methods by : Naser Mahdavi Tabatabaei

Download or read book Microgrid Architectures, Control and Protection Methods written by Naser Mahdavi Tabatabaei and published by Springer. This book was released on 2019-08-01 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intuitive explanations of the principles of microgrids, including their structure and operation and their applications. It also discusses the latest research on microgrid control and protection technologies and the essentials of microgrids as well as enhanced communication systems. The book provides solutions to microgrid operation and planning issues using various methodologies including planning and modelling; AC and DC hybrid microgrids; energy storage systems in microgrids; and optimal microgrid operational planning. Written by specialists, it is filled in innovative solutions and research related to microgrid operation, making it a valuable resource for those interested in developing updated approaches in electric power analysis, design and operational strategies. Thanks to its in-depth explanations and clear, three-part structure, it is useful for electrical engineering students, researchers and technicians.

Advances in Swarm Intelligence

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Publisher : Springer
ISBN 13 : 3642387039
Total Pages : 576 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer. This book was released on 2013-05-14 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The papers are organized in 22 cohesive sections covering all major topics of swarm intelligence research and developments. The following topics are covered in this volume: analysis of swarm intelligence based algorithms, particle swarm optimization, applications of particle swarm optimization algorithms, ant colony optimization algorithms, biogeography-based optimization algorithms, novel swarm-based search methods, bee colony algorithms, differential evolution, neural networks, fuzzy methods, evolutionary programming and evolutionary games.

Optimization of the Fuel Cell Renewable Hybrid Power Systems

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Publisher : Springer Nature
ISBN 13 : 303040241X
Total Pages : 350 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Optimization of the Fuel Cell Renewable Hybrid Power Systems by : Nicu Bizon

Download or read book Optimization of the Fuel Cell Renewable Hybrid Power Systems written by Nicu Bizon and published by Springer Nature. This book was released on 2020-02-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.

Outliers in Control Engineering

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110729121
Total Pages : 272 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Outliers in Control Engineering by : Paweł D. Domański

Download or read book Outliers in Control Engineering written by Paweł D. Domański and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-03-07 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.

Optimization based on Non-Commutative Maps

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Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832553886
Total Pages : 143 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Optimization based on Non-Commutative Maps by : Jan Feiling

Download or read book Optimization based on Non-Commutative Maps written by Jan Feiling and published by Logos Verlag Berlin GmbH. This book was released on 2022-01-20 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful optimization algorithms are key ingredients in science and engineering applications. In this thesis, we develop a novel class of discrete-time, derivative-free optimization algorithms relying on gradient approximations based on non-commutative maps–inspired by Lie bracket approximation ideas in control systems. Those maps are defined by function evaluations and applied in such a way that gradient descent steps are approximated, and semi-global convergence guarantees can be given. We supplement our theoretical findings with numerical results. Therein, we provide several algorithm parameter studies and tuning rules, as well as the results of applying our algorithm to challenging benchmarking problems.

Advances in Neural Networks - ISNN 2007

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Publisher : Springer
ISBN 13 : 3540723935
Total Pages : 1316 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Neural Networks - ISNN 2007 by : Derong Liu

Download or read book Advances in Neural Networks - ISNN 2007 written by Derong Liu and published by Springer. This book was released on 2007-07-14 with total page 1316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.

Stochastic Averaging and Stochastic Extremum Seeking

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Publisher : Springer Science & Business Media
ISBN 13 : 1447140877
Total Pages : 226 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Stochastic Averaging and Stochastic Extremum Seeking by : Shu-Jun Liu

Download or read book Stochastic Averaging and Stochastic Extremum Seeking written by Shu-Jun Liu and published by Springer Science & Business Media. This book was released on 2012-06-16 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Averaging and Extremum Seeking treats methods inspired by attempts to understand the seemingly non-mathematical question of bacterial chemotaxis and their application in other environments. The text presents significant generalizations on existing stochastic averaging theory developed from scratch and necessitated by the need to avoid violation of previous theoretical assumptions by algorithms which are otherwise effective in treating these systems. Coverage is given to four main topics. Stochastic averaging theorems are developed for the analysis of continuous-time nonlinear systems with random forcing, removing prior restrictions on nonlinearity growth and on the finiteness of the time interval. The new stochastic averaging theorems are usable not only as approximation tools but also for providing stability guarantees. Stochastic extremum-seeking algorithms are introduced for optimization of systems without available models. Both gradient- and Newton-based algorithms are presented, offering the user the choice between the simplicity of implementation (gradient) and the ability to achieve a known, arbitrary convergence rate (Newton). The design of algorithms for non-cooperative/adversarial games is described. The analysis of their convergence to Nash equilibria is provided. The algorithms are illustrated on models of economic competition and on problems of the deployment of teams of robotic vehicles. Bacterial locomotion, such as chemotaxis in E. coli, is explored with the aim of identifying two simple feedback laws for climbing nutrient gradients. Stochastic extremum seeking is shown to be a biologically-plausible interpretation for chemotaxis. For the same chemotaxis-inspired stochastic feedback laws, the book also provides a detailed analysis of convergence for models of nonholonomic robotic vehicles operating in GPS-denied environments. The book contains block diagrams and several simulation examples, including examples arising from bacterial locomotion, multi-agent robotic systems, and economic market models. Stochastic Averaging and Extremum Seeking will be informative for control engineers from backgrounds in electrical, mechanical, chemical and aerospace engineering and to applied mathematicians. Economics researchers, biologists, biophysicists and roboticists will find the applications examples instructive.

Data-Driven Science and Engineering

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Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

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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®.

Advanced Manufacturing Processes III

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Publisher : Springer Nature
ISBN 13 : 3030913279
Total Pages : 728 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Manufacturing Processes III by : Volodymyr Tonkonogyi

Download or read book Advanced Manufacturing Processes III written by Volodymyr Tonkonogyi and published by Springer Nature. This book was released on 2021-11-17 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely snapshot of innovative research and developments at the interface between manufacturing, materials and mechanical engineering, and quality assurance. It covers a wide range of manufacturing processes, such as grinding, boring, milling, turning, woodworking, coatings, including additive manufacturing. It focuses on laser, ultrasonic, and combined laser–ultrasonic hardening treatments, and dispersion hardening. It describes tribology and functional analysis of coatings, separation, purification and filtration processes, as well as ecological recirculation and electrohydraulic activation, highlighting the growing role of digital twins, optimization and lifecycle management methods, and quality inspection processes. It also covers cutting-edge heat and mass transfer technologies and energy management methods. Gathering the best papers presented at the 3rd Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2021), held in Odessa, Ukraine, on September 7–10, 2021, this book offers a timely overview and extensive information on trends and technologies in manufacturing, mechanical, and materials engineering, and quality assurance. It is also intended to facilitate communication and collaboration between different groups working on similar topics and to offer a bridge between academic and industrial researchers.

Active Braking Control Systems Design for Vehicles

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Publisher : Springer Science & Business Media
ISBN 13 : 1849963509
Total Pages : 254 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Active Braking Control Systems Design for Vehicles by : Sergio M. Savaresi

Download or read book Active Braking Control Systems Design for Vehicles written by Sergio M. Savaresi and published by Springer Science & Business Media. This book was released on 2010-09-24 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Active Braking Control Design for Road Vehicles focuses on two main brake system technologies: hydraulically-activated brakes with on–off dynamics and electromechanical brakes, tailored to brake-by-wire control. The physical differences of such actuators enjoin the use of different control schemes so as to be able fully to exploit their characteristics. The authors show how these different control approaches are complementary, each having specific peculiarities in terms of either performance or of the structural properties of the closed-loop system. They also consider other problems related to the design of braking control systems, namely: • longitudinal vehicle speed estimation and its relationship with braking control system design; • tire–road friction estimation; • direct estimation of tire–road contact forces via in-tire sensors, providing a treatment of active vehicle braking control from a wider perspective linked to both advanced academic research and industrial reality.