Output Feedback Reinforcement Learning Control for Linear Systems, Rizvi

Автор: Shengbo Eben Li
Название: Reinforcement Learning for Sequential Decision and Optimal Control
ISBN: 9811977836 ISBN-13(EAN): 9789811977831
Издательство: Springer
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Цена: 74530.00 T
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Описание: Have you ever wondered how AlphaZero learns to defeat the top human Go players? Do you have any clues about how an autonomous driving system can gradually develop self-driving skills beyond normal drivers? What is the key that enables AlphaStar to make decisions in Starcraft, a notoriously difficult strategy game that has partial information and complex rules? The core mechanism underlying those recent technical breakthroughs is reinforcement learning (RL), a theory that can help an agent to develop the self-evolution ability through continuing environment interactions. In the past few years, the AI community has witnessed phenomenal success of reinforcement learning in various fields, including chess games, computer games and robotic control. RL is also considered to be a promising and powerful tool to create general artificial intelligence in the future. As an interdisciplinary field of trial-and-error learning and optimal control, RL resembles how humans reinforce their intelligence by interacting with the environment and provides a principled solution for sequential decision making and optimal control in large-scale and complex problems. Since RL contains a wide range of new concepts and theories, scholars may be plagued by a number of questions: What is the inherent mechanism of reinforcement learning? What is the internal connection between RL and optimal control? How has RL evolved in the past few decades, and what are the milestones? How do we choose and implement practical and effective RL algorithms for real-world scenarios? What are the key challenges that RL faces today, and how can we solve them? What is the current trend of RL research? You can find answers to all those questions in this book. The purpose of the book is to help researchers and practitioners take a comprehensive view of RL and understand the in-depth connection between RL and optimal control. The book includes not only systematic and thorough explanations of theoretical basics but also methodical guidance of practical algorithm implementations. The book intends to provide a comprehensive coverage of both classic theories and recent achievements, and the content is carefully and logically organized, including basic topics such as the main concepts and terminologies of RL, Markov decision process (MDP), Bellman’s optimality condition, Monte Carlo learning, temporal difference learning, stochastic dynamic programming, function approximation, policy gradient methods, approximate dynamic programming, and deep RL, as well as the latest advances in action and state constraints, safety guarantee, reference harmonization, robust RL, partially observable MDP, multiagent RL, inverse RL, offline RL, and so on.

Автор: Lutz Frommberger
Название: Qualitative Spatial Abstraction in Reinforcement Learning
ISBN: 3642266002 ISBN-13(EAN): 9783642266003
Издательство: Springer
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Цена: 107130.00 T
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Описание: Reinforcement learning has evolved to tackle domains that are yet to be fully understood, or are too complex for a closed description. In this book the author investigates whether suitable abstraction methods can overcome the discipline`s deficiencies.

Автор: Colomй Adriа, Torras Carme
Название: Reinforcement Learning of Bimanual Robot Skills
ISBN: 3030263282 ISBN-13(EAN): 9783030263287
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process.

Автор: Rao, Ashwin (stanford University, Usa) Jelvis, Tikhon
Название: Foundations of reinforcement learning with applications in finance
ISBN: 1032124121 ISBN-13(EAN): 9781032124124
Издательство: Taylor&Francis
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Цена: 76550.00 T
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Описание: This book demystifies Reinforcement Learning, and makes it a practically useful tool for those studying and working in applied areas, especially finance. This book seeks to overcome that barrier, and to introduce the foundations of RL in a way that balances depth of understanding with clear, minimally technical delivery.

Автор: Xiao-Heng Chang
Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
ISBN: 3642551068 ISBN-13(EAN): 9783642551062
Издательство: Springer
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Цена: 102480.00 T
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Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.

Автор: Xiao-Heng Chang
Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
ISBN: 3662525496 ISBN-13(EAN): 9783662525494
Издательство: Springer
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Цена: 104480.00 T
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Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.

Автор: Wang
Название: Analysis and Control of Output Synchronization for Complex Dynamical Networks
ISBN: 9811313512 ISBN-13(EAN): 9789811313516
Издательство: Springer
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Цена: 130430.00 T
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Описание: It discusses novel research ideas and a number of definitions in complex dynamical networks, such as H-Infinity output synchronization, adaptive coupling weights, multiple weights, the relationship between output strict passivity and output synchronization.

Автор: Christopher I. Byrnes; Francesco Delli Priscoli; A
Название: Output Regulation of Uncertain Nonlinear Systems
ISBN: 0817639977 ISBN-13(EAN): 9780817639976
Издательство: Springer
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Цена: 121110.00 T
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Описание: The problem of controlling the output of a system so as to achieve asymptotic tracking of prescribed trajectories and/or asymptotic re- jection of undesired disturbances is a central problem in control the- ory.

Автор: Leonid Fridman; Alexander Poznyak; Francisco Javie
Название: Robust Output LQ Optimal Control via Integral Sliding Modes
ISBN: 0817649611 ISBN-13(EAN): 9780817649616
Издательство: Springer
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Цена: 83850.00 T
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Описание: Featuring research from experts in sliding mode control, this book presents new design schemes for implementing an optimal control having the output system as the only information of the vector state. The benefit is greater applicability to real-world systems.

Автор: M. Vidyasagar
Название: Input-Output Analysis of Large-Scale Interconnected Systems
ISBN: 3540105018 ISBN-13(EAN): 9783540105015
Издательство: Springer
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Цена: 95770.00 T
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Автор: Leonid Fridman; Alexander Poznyak; Francisco Javie
Название: Robust Output LQ Optimal Control via Integral Sliding Modes
ISBN: 1493951157 ISBN-13(EAN): 9781493951154
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
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Описание: Featuring research from experts in sliding mode control, this book presents new design schemes for implementing an optimal control having the output system as the only information of the vector state. The benefit is greater applicability to real-world systems.

Автор: Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-
Название: Analysis and Control of Output Synchronization for Complex Dynamical Networks
ISBN: 981134616X ISBN-13(EAN): 9789811346163
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
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Описание: This book introduces recent results on output synchronization of complex dynamical networks with single and multiple weights. It discusses novel research ideas and a number of definitions in complex dynamical networks, such as H-Infinity output synchronization, adaptive coupling weights, multiple weights, the relationship between output strict passivity and output synchronization. Furthermore, it methodically edits the research results previously published in various flagship journals and presents them in a unified form. The book is of interest to university researchers and graduate students in engineering and mathematics who wish to study output synchronization of complex dynamical networks.