Data Driven Science And Engineering: Machine Learning, Dynamical Systems, And Control

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Ed 2

Steven L. Brunton, "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Ed 2"
English | ISBN: 1009098489 | 2022 | 614 pages | PDF | 29 MB

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control  eBooks & eLearning

Posted by arundhati at Sept. 28, 2019
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton, "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control"
English | ISBN: 1108422098 | 2019 | 492 pages | PDF | 73 MB

Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach  eBooks & eLearning

Posted by AvaxGenius at May 11, 2018
Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach

Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach By Rushikesh Kamalapurkar
English | PDF,EPUB | 2018 | 305 Pages | ISBN : 3319783831 | 21.92 MB

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book’s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution.

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems  eBooks & eLearning

Posted by arundhati at Sept. 18, 2019
Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

J. Nathan Kutz, "Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems"
English | ISBN: 1611974496 | 2016 | 250 pages | PDF | 24 MB

Handbook of Dynamic Data Driven Applications Systems: Volume 2  eBooks & eLearning

Posted by AvaxGenius at Sept. 16, 2023
Handbook of Dynamic Data Driven Applications Systems: Volume 2

Handbook of Dynamic Data Driven Applications Systems: Volume 2 by Frederica Darema, Erik P. Blasch, Sai Ravela, Alex J. Aved
English | PDF EPUB (True) | 2023 | 937 Pages | ISBN : 3031279859 | 169.6 MB

This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas.

Data Engineering and Data Science: Concepts and Applications  eBooks & eLearning

Posted by yoyoloit at Aug. 23, 2023
Data Engineering and Data Science: Concepts and Applications

Data Engineering and Data Science
by Kumar, Kukatlapalli Pradeep;Unal, Aynur;Pillai, Vinay Jha;Murthy, Hari;Niranjanamurthy, M.;

English | 2023 | ISBN: 1119841879 | 467 pages | True PDF | 114.25 MB
Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach (Repost)

Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach By Rushikesh Kamalapurkar
English | PDF,EPUB | 2018 | 305 Pages | ISBN : 3319783831 | 21.92 MB

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book’s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution.

"Cutting Edge Robotics" ed. by Vedran Kordic, Alex Lazinica, Munir Merdan  eBooks & eLearning

Posted by exLib at Nov. 8, 2021
"Cutting Edge Robotics" ed. by Vedran Kordic, Alex Lazinica, Munir Merdan

"Cutting Edge Robotics" ed. by Vedran Kordic, Alex Lazinica, Munir Merdan
ITexLi | 2021 | ISBN: 3866110383 9783866110380 9535158007 9789535158004 | 758 pages | PDF | 80 MB

This book is the result of inspirations and contributions from many researchers worldwide. It presents a collection of wide range research results of robotics scientific community. Various aspects of current research in robotics area are explored and discussed. Different mechatronic systems oriented on robotics are explored in the book.