Modelling And Control Of Dynamic Systems Using Gaussian Process Models
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Modelling And Control Of Dynamic Systems Using Gaussian Process Models
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Author : Juš Kocijan
language : en
Publisher: Springer
Release Date : 2015-11-21
Modelling And Control Of Dynamic Systems Using Gaussian Process Models written by Juš Kocijan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-21 with Technology & Engineering categories.
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
Artificial Intelligence Methodology Systems And Applications
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Author : Petia Koprinkova-Hristova
language : en
Publisher: Springer Nature
Release Date : 2025-01-31
Artificial Intelligence Methodology Systems And Applications written by Petia Koprinkova-Hristova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18–20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
Innovations In Intelligent Machines 5
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Author : Valentina Emilia Balas
language : en
Publisher: Springer
Release Date : 2014-05-22
Innovations In Intelligent Machines 5 written by Valentina Emilia Balas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Technology & Engineering categories.
This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.
Simulation For A Sustainable Future
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Author : Miguel Mujica Mota
language : en
Publisher: Springer Nature
Release Date : 2024-10-05
Simulation For A Sustainable Future written by Miguel Mujica Mota and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-05 with Computers categories.
The two volume set CCIS 2032 and 2033 constitutes the proceedings of the 11th Congress on Simulation for a Sustainable Future, EUROSIM 2023, which was held in Amsterdam, The Netherlands, during July 3–5, 2023. The 47 full papers included in the proceedings were carefully reviewed and selected from 99 submissions. The papers are divided in the following topical sections: environmental sustainability; healthcare; production systems; business and industries; logistics and transportation systems; monitor, control, and theoretical systems.
Big Data In Finance Transforming The Financial Landscape
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Author : Bahaaeddin Alareeni
language : en
Publisher: Springer Nature
Release Date : 2025-07-12
Big Data In Finance Transforming The Financial Landscape written by Bahaaeddin Alareeni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
This book uncovers the potential of machine learning, artificial intelligence, and advanced analytics to empower financial institutions to stay competitive in an ever-evolving market. In the age of digital transformation, big data is revolutionizing the financial industry, reshaping how businesses understand markets, manage risks, and make strategic decisions. "Big Data in Finance: Transforming the Financial Landscape" offers a comprehensive exploration of the cutting-edge technologies and analytics driving this change, making it an essential resource for professionals, scholars, business leaders, and enthusiasts alike. From enhancing operational efficiency to enabling more accurate forecasting, this book delves deep into how data-driven insights are transforming traditional financial models. With practical insights, real-world applications, and contributions from industry leaders, this book provides a balanced perspective on both the opportunities and challenges of data-driven finance. It addresses key ethical considerations, regulatory concerns, and future trends, offering readers a holistic understanding of the dynamic intersection of technology and finance. Discover how big data is shaping the future of finance, and gain the knowledge you need to harness its full potential. Whether you're looking to innovate, optimize, or simply stay informed, "Big Data in Finance: Transforming the Financial Landscape" is your roadmap to success in the new era of digital finance.
Artificial Intelligence For The Internet Of Everything
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Author : William Lawless
language : en
Publisher: Academic Press
Release Date : 2019-02-21
Artificial Intelligence For The Internet Of Everything written by William Lawless and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.
Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these "things may affect individuals, teams, society or each other. Of particular focus is what may happen when these "things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other "things. - Considers the foundations, metrics and applications of IoE systems - Debates whether IoE systems should speak to humans and each other - Explores how IoE systems affect targeted audiences and society - Discusses theoretical IoT ecosystem models
Recent Advances In Model Predictive Control
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Author : Timm Faulwasser
language : en
Publisher: Springer Nature
Release Date : 2021-04-17
Recent Advances In Model Predictive Control written by Timm Faulwasser and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-17 with Science categories.
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.
Intelligent Control Systems Using Computational Intelligence Techniques
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Author : A.E. Ruano
language : en
Publisher: IET
Release Date : 2005-07-18
Intelligent Control Systems Using Computational Intelligence Techniques written by A.E. Ruano and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-18 with Computers categories.
Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.
Advances In Neural Information Processing Systems 15
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Author : Suzanna Becker
language : en
Publisher: MIT Press
Release Date : 2003
Advances In Neural Information Processing Systems 15 written by Suzanna Becker and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
Proceedings of the 2002 Neural Information Processing Systems Conference.
Artificial Intelligence In Manufacturing
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Author : Masoud Soroush
language : en
Publisher: Elsevier
Release Date : 2024-01-22
Artificial Intelligence In Manufacturing written by Masoud Soroush and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-22 with Technology & Engineering categories.
Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems. - Presents AI concepts from the computer science field using language and examples designed to inspire engineering graduates - Provides worked examples throughout to help readers fully engage with the methods described - Includes concepts that are supported by definitions for key terms and chapter summaries