2018 Ieee Conference On Decision And Control Cdc PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 2018 Ieee Conference On Decision And Control Cdc PDF full book. Access full book title 2018 Ieee Conference On Decision And Control Cdc.
Author | : IEEE Staff |
Publisher | : |
Total Pages | : |
Release | : 2018-12-17 |
Genre | : |
ISBN | : 9781538613962 |
Download 2018 IEEE Conference on Decision and Control (CDC) Book in PDF, ePub and Kindle
Control systems analysis and design
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2018 |
Genre | : Adaptive control systems |
ISBN | : |
Download 2018 IEEE Conference on Decision and Control (CDC) Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 346 |
Release | : 2010 |
Genre | : |
ISBN | : |
Download 49th IEEE Conference on Decision and Control Book in PDF, ePub and Kindle
Author | : Tansu Alpcan |
Publisher | : Springer Nature |
Total Pages | : 584 |
Release | : 2019-10-23 |
Genre | : Computers |
ISBN | : 3030324303 |
Download Decision and Game Theory for Security Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 10th International Conference on Decision and Game Theory for Security, GameSec 2019,held in Stockholm, Sweden, in October 2019.The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 47 submissions.The papers focus on protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1987 |
Genre | : |
ISBN | : |
Download Proceedings of the 26th IEEE Conference on Decision and Control [CDC] Book in PDF, ePub and Kindle
Author | : Timothy L. Molloy |
Publisher | : Springer Nature |
Total Pages | : 278 |
Release | : 2022-02-18 |
Genre | : Mathematics |
ISBN | : 3030933172 |
Download Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory Book in PDF, ePub and Kindle
This book presents a novel unified treatment of inverse problems in optimal control and noncooperative dynamic game theory. It provides readers with fundamental tools for the development of practical algorithms to solve inverse problems in control, robotics, biology, and economics. The treatment involves the application of Pontryagin's minimum principle to a variety of inverse problems and proposes algorithms founded on the elegance of dynamic optimization theory. There is a balanced emphasis between fundamental theoretical questions and practical matters. The text begins by providing an introduction and background to its topics. It then discusses discrete-time and continuous-time inverse optimal control. The focus moves on to differential and dynamic games and the book is completed by consideration of relevant applications. The algorithms and theoretical results developed in Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory provide new insights into information requirements for solving inverse problems, including the structure, quantity, and types of state and control data. These insights have significant practical consequences in the design of technologies seeking to exploit inverse techniques such as collaborative robots, driver-assistance technologies, and autonomous systems. The book will therefore be of interest to researchers, engineers, and postgraduate students in several disciplines within the area of control and robotics.
Author | : Marco Gribaudo |
Publisher | : Springer Nature |
Total Pages | : 301 |
Release | : 2020-11-03 |
Genre | : Computers |
ISBN | : 3030598543 |
Download Quantitative Evaluation of Systems Book in PDF, ePub and Kindle
This book constitutes the proceedings of the 17th International Conference on Quantitative Evaluation Systems, QEST 2020, held in Vienna, Austria, in August/September 2020. The 12 full papers presented together with 7 short papers were carefully reviewed and selected from 42 submissions. The papers cover topics such as classic measures involving performance and reliability, quantification of properties that are classically qualitative, such as safety, correctness, and security as well as analytic studies, diversity in the model formalisms and methodologies employed, and development of new formalisms and methodologies.
Author | : Qingguo Lü |
Publisher | : Springer Nature |
Total Pages | : 282 |
Release | : 2023-02-08 |
Genre | : Computers |
ISBN | : 9811985596 |
Download Distributed Optimization in Networked Systems Book in PDF, ePub and Kindle
This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.
Author | : Levent Guvenc |
Publisher | : John Wiley & Sons |
Total Pages | : 256 |
Release | : 2021-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1119747961 |
Download Autonomous Road Vehicle Path Planning and Tracking Control Book in PDF, ePub and Kindle
Discover the latest research in path planning and robust path tracking control In Autonomous Road Vehicle Path Planning and Tracking Control, a team of distinguished researchers delivers a practical and insightful exploration of how to design robust path tracking control. The authors include easy to understand concepts that are immediately applicable to the work of practicing control engineers and graduate students working in autonomous driving applications. Controller parameters are presented graphically, and regions of guaranteed performance are simple to visualize and understand. The book discusses the limits of performance, as well as hardware-in-the-loop simulation and experimental results that are implementable in real-time. Concepts of collision and avoidance are explained within the same framework and a strong focus on the robustness of the introduced tracking controllers is maintained throughout. In addition to a continuous treatment of complex planning and control in one relevant application, the Autonomous Road Vehicle Path Planning and Tracking Control includes: A thorough introduction to path planning and robust path tracking control for autonomous road vehicles, as well as a literature review with key papers and recent developments in the area Comprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models Practical discussions of path generation and path modeling available in current literature In-depth examinations of collision free path planning and collision avoidance Perfect for advanced undergraduate and graduate students with an interest in autonomous vehicles, Autonomous Road Vehicle Path Planning and Tracking Control is also an indispensable reference for practicing engineers working in autonomous driving technologies and the mobility groups and sections of automotive OEMs.
Author | : Uma Maheswari V |
Publisher | : CRC Press |
Total Pages | : 318 |
Release | : 2024-08-27 |
Genre | : Computers |
ISBN | : 1040109675 |
Download Sustainable Development Using Private AI Book in PDF, ePub and Kindle
This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision. Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer’s data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms. The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.