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Recent Advances In Learning And Control
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Book Synopsis Recent Advances in Learning and Control by : Vincent D. Blondel
Download or read book Recent Advances in Learning and Control written by Vincent D. Blondel and published by Springer Science & Business Media. This book was released on 2008-01-11 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad that honored the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.
Book Synopsis Advances in Motor Learning and Control by : Howard N. Zelaznik
Download or read book Advances in Motor Learning and Control written by Howard N. Zelaznik and published by Human Kinetics. This book was released on 1996 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Motor Learning and Control surveys the latest, most important advances in the field, surpassing the confines of debate between proponents of the information processing and dynamical systems. Zelaznik, editor of the Journal of Motor Behavior from 1989 to 1996, brings together a variety of perspectives. Some of the more difficult topics-such as behavioral analysis of trajectory formation and the dynamic pattern perspective of rhythmic movement-are presented in tutorial fashion. Other chapters provide a foundation for understanding increasingly specialized areas of study.
Book Synopsis Recent Advances in Learning and Control by : Vincent D. Blondel
Download or read book Recent Advances in Learning and Control written by Vincent D. Blondel and published by Springer. This book was released on 2009-10-12 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad that honored the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.
Book Synopsis Recent Advances in Technology Research and Education by : Dumitru Luca
Download or read book Recent Advances in Technology Research and Education written by Dumitru Luca and published by Springer. This book was released on 2017-09-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected contributions to the 16th International Conference on Global Research and Education Inter-Academia 2017 hosted by Alexandru Ioan Cuza University of Iași, Romania from 25 to 28 September 2017. It is the third volume in the series, following the editions from 2015 and 2016. Fundamental and applied research in natural sciences have led to crucial developments in the ongoing 4th global industrial revolution, in the course of which information technology has become deeply embedded in industrial management, research and innovation – and just as deeply in education and everyday life. Materials science and nanotechnology, plasma and solid state physics, photonics, electrical and electronic engineering, robotics and metrology, signal processing, e-learning, intelligent and soft computing have long since been central research priorities for the Inter-Academia Community (I-AC) – a body comprising 14 universities and research institutes from Japan and Central/East-European countries that agreed, in 2002, to coordinate their research and education programs so as to better address today’s challenges. The book is intended for use in academic, government, and industrial R&D departments as a reference tool in research and technology education. The 42 peer-reviewed papers were written by more than 119 leading scientists from 14 countries, most of them affiliated to the I-AC.
Book Synopsis Recent Advances in Learning Automata by : Alireza Rezvanian
Download or read book Recent Advances in Learning Automata written by Alireza Rezvanian and published by Springer. This book was released on 2018-01-17 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy. In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains.
Book Synopsis Differing Perspectives in Motor Learning, Memory, and Control by : D. Goodman
Download or read book Differing Perspectives in Motor Learning, Memory, and Control written by D. Goodman and published by Elsevier. This book was released on 1985-01-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Differing Perspectives in Motor Learning, Memory, and Control
Book Synopsis Recent Advances in Robot Learning by : Judy A. Franklin
Download or read book Recent Advances in Robot Learning written by Judy A. Franklin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Book Synopsis Recent Advances in Physiotherapy by : Cecily Partridge
Download or read book Recent Advances in Physiotherapy written by Cecily Partridge and published by John Wiley & Sons. This book was released on 2007-04-04 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like Partridge: Neurological Physiotherapy: Bases of Evidence for Practice, each chapter in Recent Advances in Physiotherapy features a case report provided by a team of clinicians based on details from a real patient. This book of recent advances provides readers with a way of keeping up-to-date with recent work in the discipline of physiotherapy, based on the evidence for current practice.
Book Synopsis Iterative Learning Control by : David H. Owens
Download or read book Iterative Learning Control written by David H. Owens and published by Springer. This book was released on 2015-10-31 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design. Using detailed examples taken from linear, discrete and continuous-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately as their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation. Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes.
Book Synopsis Psychology of Learning and Motivation by :
Download or read book Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 2015-06-08 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 63 includes chapters on such varied topics as memory and imagery, statistical regularities, eyewitness lineups, embodied attention, the teleological choice rule, inductive reasoning, causal reasoning and cognitive and neural components of insight. Volume 63 of the highly regarded Psychology of Learning and Motivation series An essential reference for researchers and academics in cognitive science Relevant to both applied concerns and basic research
Book Synopsis New Advances at the Intersection of Brain-Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics by : Guang Chen
Download or read book New Advances at the Intersection of Brain-Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics written by Guang Chen and published by Frontiers Media SA. This book was released on 2020-09-02 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Recent Advances in Model Predictive Control by : Timm Faulwasser
Download or read book Recent Advances in Model Predictive Control written by Timm Faulwasser and published by Springer Nature. This book was released on 2021-04-17 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
Book Synopsis Recent Advances in Applying Identity and Society Awareness to Virtual Learning by : Stricker, Andrew G.
Download or read book Recent Advances in Applying Identity and Society Awareness to Virtual Learning written by Stricker, Andrew G. and published by IGI Global. This book was released on 2019-06-14 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online and virtual learning has developed into an essential aspect of learning technologies. A transdisciplinary perspective is needed to evaluate the interplay between social awareness and online virtual environments. Recent Advances in Applying Identity and Society Awareness to Virtual Learning is a critical academic publication that provides a robust examination of the social aspects of virtual learning by providing groundbreaking research on the use of 3D design thinking and cognitive apprenticeship in virtual learning spaces for team science, transdisciplinarity, idea incubation, and curation. It also identifies new patterns, methods, and practices for virtual learning using enhanced educational technology that leverages artificial intelligence, cloud computing, and the Internet of Things (IoT) to integrate 3D immersive environments, augmented reality, games, simulations, and wearable technology, while also evaluating the impact of culture, community, and society on lifelong learning and self-determinism to address critical problems in education, such as STEM. Focusing on a broad range of topics including learning spaces, cloud computing, and organizational strategy, this publication is ideal for professionals, researchers, educators, and administrators.
Book Synopsis Recent Advances in Intelligent Systems and Smart Applications by : Mostafa Al-Emran
Download or read book Recent Advances in Intelligent Systems and Smart Applications written by Mostafa Al-Emran and published by Springer Nature. This book was released on 2020-06-26 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.
Book Synopsis Approaches to the Study of Motor Control and Learning by : J.J. Summers
Download or read book Approaches to the Study of Motor Control and Learning written by J.J. Summers and published by Elsevier. This book was released on 1991-12-18 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past two decades, there has been a dramatic increase in interest in the study of motor control and learning. In this volume authors from a variety of backgrounds and theoretical perspectives review their research with particular emphasis on the methods and paradigms employed, and the future direction of their work. The book is divided into four main sections. The first section contains chapters examining general issues and trends in the movement behaviour field. The remaining three sections contain chapters from scientists working in three broadly defined areas of interest: coordination and control; visuo-motor processes; and movement disorders. Each section provides an overview of the different approaches and different levels of analysis being used to examine specific topics within the motor domain.
Book Synopsis Recent Advances in Technology Acceptance Models and Theories by : Mostafa Al-Emran
Download or read book Recent Advances in Technology Acceptance Models and Theories written by Mostafa Al-Emran and published by Springer Nature. This book was released on 2021-04-16 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts. It also provides insights into the theoretical and practical aspects of different technological innovations that assist decision-makers in formulating the required policies and procedures for adopting a specific technology.
Book Synopsis Advances in Learning Automata and Intelligent Optimization by : Javidan Kazemi Kordestani
Download or read book Advances in Learning Automata and Intelligent Optimization written by Javidan Kazemi Kordestani and published by Springer Nature. This book was released on 2021-06-23 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits • Presents the latest advances in learning automata-based optimization approaches. • Addresses the memetic models of learning automata for solving NP-hard problems. • Discusses the application of learning automata for behavior control in evolutionary computation in detail. • Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.
