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Neural Approximations For Optimal Control And Decision


Neural Approximations For Optimal Control And Decision
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Neural Approximations For Optimal Control And Decision


Neural Approximations For Optimal Control And Decision
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Author : Riccardo Zoppoli
language : en
Publisher: Springer Nature
Release Date : 2019-12-17

Neural Approximations For Optimal Control And Decision written by Riccardo Zoppoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-17 with Technology & Engineering categories.


Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.



Lessons From Alphazero For Optimal Model Predictive And Adaptive Control


Lessons From Alphazero For Optimal Model Predictive And Adaptive Control
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Author : Dimitri Bertsekas
language : en
Publisher: Athena Scientific
Release Date : 2022-03-19

Lessons From Alphazero For Optimal Model Predictive And Adaptive Control written by Dimitri Bertsekas and has been published by Athena Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-19 with Computers categories.


The purpose of this book is to propose and develop a new conceptual framework for approximate Dynamic Programming (DP) and Reinforcement Learning (RL). This framework centers around two algorithms, which are designed largely independently of each other and operate in synergy through the powerful mechanism of Newton's method. We call these the off-line training and the on-line play algorithms; the names are borrowed from some of the major successes of RL involving games. Primary examples are the recent (2017) AlphaZero program (which plays chess), and the similarly structured and earlier (1990s) TD-Gammon program (which plays backgammon). In these game contexts, the off-line training algorithm is the method used to teach the program how to evaluate positions and to generate good moves at any given position, while the on-line play algorithm is the method used to play in real time against human or computer opponents. Both AlphaZero and TD-Gammon were trained off-line extensively using neural networks and an approximate version of the fundamental DP algorithm of policy iteration. Yet the AlphaZero player that was obtained off-line is not used directly during on-line play (it is too inaccurate due to approximation errors that are inherent in off-line neural network training). Instead a separate on-line player is used to select moves, based on multistep lookahead minimization and a terminal position evaluator that was trained using experience with the off-line player. The on-line player performs a form of policy improvement, which is not degraded by neural network approximations. As a result, it greatly improves the performance of the off-line player. Similarly, TD-Gammon performs on-line a policy improvement step using one-step or two-step lookahead minimization, which is not degraded by neural network approximations. To this end it uses an off-line neural network-trained terminal position evaluator, and importantly it also extends its on-line lookahead by rollout (simulation with the one-step lookahead player that is based on the position evaluator). Significantly, the synergy between off-line training and on-line play also underlies Model Predictive Control (MPC), a major control system design methodology that has been extensively developed since the 1980s. This synergy can be understood in terms of abstract models of infinite horizon DP and simple geometrical constructions, and helps to explain the all-important stability issues within the MPC context. An additional benefit of policy improvement by approximation in value space, not observed in the context of games (which have stable rules and environment), is that it works well with changing problem parameters and on-line replanning, similar to indirect adaptive control. Here the Bellman equation is perturbed due to the parameter changes, but approximation in value space still operates as a Newton step. An essential requirement here is that a system model is estimated on-line through some identification method, and is used during the one-step or multistep lookahead minimization process. In this monograph we aim to provide insights (often based on visualization), which explain the beneficial effects of on-line decision making on top of off-line training. In the process, we will bring out the strong connections between the artificial intelligence view of RL, and the control theory views of MPC and adaptive control. Moreover, we will show that in addition to MPC and adaptive control, our conceptual framework can be effectively integrated with other important methodologies such as multiagent systems and decentralized control, discrete and Bayesian optimization, and heuristic algorithms for discrete optimization. One of our principal aims is to show, through the algorithmic ideas of Newton's method and the unifying principles of abstract DP, that the AlphaZero/TD-Gammon methodology of approximation in value space and rollout applies very broadly to deterministic and stochastic optimal control problems. Newton's method here is used for the solution of Bellman's equation, an operator equation that applies universally within DP with both discrete and continuous state and control spaces, as well as finite and infinite horizon.



Proceedings Of The 2nd International Workshop On Advances In Civil Aviation Systems Development


Proceedings Of The 2nd International Workshop On Advances In Civil Aviation Systems Development
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Author : Ivan Ostroumov
language : en
Publisher: Springer Nature
Release Date : 2024-05-14

Proceedings Of The 2nd International Workshop On Advances In Civil Aviation Systems Development written by Ivan Ostroumov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Technology & Engineering categories.


This book includes high-quality research papers presented at 2nd International Workshop on Advances in Civil Aviation Systems Development (ACASD 2024), which was at National Aviation University, Kyiv Ukraine, on March 26, 2024. This book presents original results of a scholarly study of unique research teams and market leaders on the development in civil aviation systems and its application. The book topics include major research areas focused on advances in air traffic management, data processing in civil aviation, automatic control in civil aviation systems, modern trends in navigation systems development, methods of operational efficiency improvement, human factor, and application of artificial intelligence in civil aviation systems. This book is useful for scholars and professionals in the civil aviation domain.



Engineering Mathematics And Computing


Engineering Mathematics And Computing
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Author : Park Gyei-Kark
language : en
Publisher: Springer Nature
Release Date : 2022-10-03

Engineering Mathematics And Computing written by Park Gyei-Kark and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-03 with Mathematics categories.


This book contains select papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), held at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from 5–7 February 2020. The book discusses new developments and advances in the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, hybrid intelligent systems, etc. The book, containing 19 chapters, is useful to the researchers, scholars, and practising engineers as well as graduate students of engineering and applied sciences.



Sofsem 2010 Theory And Practice Of Computer Science


Sofsem 2010 Theory And Practice Of Computer Science
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Author : Jan Leeuwen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-20

Sofsem 2010 Theory And Practice Of Computer Science written by Jan Leeuwen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-20 with Computers categories.


This book constitutes the refereed proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2010, held in Špindleruv Mlýn, Czech Republic, in January 2009. The 53 revised full papers, presented together with 11 invited contributions, were carefully reviewed and selected from 134 submissions. SOFSEM 2010 was organized around the following four tracks: Foundations of computer science, principles of software construction, Data, knowledge, and intelligent systems and Web science.



Computational Science And Its Applications Iccsa 2025 Workshops


Computational Science And Its Applications Iccsa 2025 Workshops
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Author : Osvaldo Gervasi
language : en
Publisher: Springer Nature
Release Date : 2025-08-07

Computational Science And Its Applications Iccsa 2025 Workshops written by Osvaldo Gervasi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-07 with Computers categories.


The fourteen-volume set LNCS 15886-15899 constitutes the papers of several workshops which were held in conjunction with the 25th International Conference on Computational Science and Its Applications, ICCSA 2025, held in Istanbul, Turkey, during June 30–July 3, 2025. The 362 full papers, 37 short papers and 2 PHD showcase included in this book were carefully reviewed and selected from 1043 submissions. In addition, the conference consisted of 58 workshops, focusing on very topical issues of importance to science, technology and society: from new mathematical approaches for solving complex computational systems, to information and knowledge in the Internet of Things, new statistical and optimization methods, several Artificial Intelligence approaches, sustainability issues, smart cities and related technologies.



Advances In Civil Aviation Systems Development


Advances In Civil Aviation Systems Development
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Author : Ivan Ostroumov
language : en
Publisher: Springer Nature
Release Date : 2025-07-02

Advances In Civil Aviation Systems Development written by Ivan Ostroumov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Technology & Engineering categories.


This book includes high-quality research papers presented at 3rd International Workshop on Advances in Civil Aviation Systems Development (ACASD 2025), which was joint event of School of Aeronautics and Astronautics of Purdue University (IN, USA) and National Aviation University (Kyiv, Ukraine). This book presents original results of a scholarly study of unique research teams and market leaders on the development in civil aviation systems and its application. The book topics include major research areas focused on advances in air transportation, interference in global navigation satellite system, aircraft noise, communication systems for civil aviation systems, surveillance data processing, methods of operational efficiency improvement, sensors in civil aviation, human factor, and unmanned aircraft systems. Book is useful for scholars and professionals in the civil aviation domain.



Optimization And Decision Science Operations Research Inclusion And Equity


Optimization And Decision Science Operations Research Inclusion And Equity
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Author : Paola Cappanera
language : en
Publisher: Springer Nature
Release Date : 2023-07-15

Optimization And Decision Science Operations Research Inclusion And Equity written by Paola Cappanera and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-15 with Business & Economics categories.


This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2nd, 2022, organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research). The book includes contributions in the fields of operations research, optimization, problem solving, decision making and their applications in the most diverse domains. Moreover, a special focus is set on the challenging theme Operations Research: inclusion and equity. The work offers 30 contributions, covering a wide spectrum of methodologies and applications. Specifically, they feature the following topics: (i) Variational Inequalities, Equilibria and Games, (ii) Optimization and Machine Learning, (iii) Global Optimization, (iv) Optimization under Uncertainty, (v) Combinatorial Optimization, (vi) Transportation and Mobility, (vii) Health Care Management, and (viii) Applications. This book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities.



Advances In Computing Informatics Networking And Cybersecurity


Advances In Computing Informatics Networking And Cybersecurity
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Author : Petros Nicopolitidis
language : en
Publisher: Springer Nature
Release Date : 2022-03-03

Advances In Computing Informatics Networking And Cybersecurity written by Petros Nicopolitidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-03 with Computers categories.


This book presents new research contributions in the above-mentioned fields. Information and communication technologies (ICT) have an integral role in today’s society. Four major driving pillars in the field are computing, which nowadays enables data processing in unprecedented speeds, informatics, which derives information stemming for processed data to feed relevant applications, networking, which interconnects the various computing infrastructures and cybersecurity for addressing the growing concern for secure and lawful use of the ICT infrastructure and services. Its intended readership covers senior undergraduate and graduate students in Computer Science and Engineering and Electrical Engineering, as well as researchers, scientists, engineers, ICT managers, working in the relevant fields and industries.



Ijcnn 2000


Ijcnn 2000
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Author : Shun'ichi Amari
language : en
Publisher:
Release Date : 2000

Ijcnn 2000 written by Shun'ichi Amari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Artificial intelligence categories.