1# Library to Find Best eBook for Read
Author : Stafford Beer
Release : 1966
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Decision and Control by : Stafford Beer
Download or read book Decision and Control written by Stafford Beer. This book was released on 1966. Available in PDF, EPUB and Kindle. Book excerpt: Study of operational research in management - includes sections on decision making and control, simulation, automation and the outcome for industry and government.
Author : Jerold L. Zimmerman
Release : 2009
Genre : Managerial accounting
Kind : eBook
Book Rating : 700/5 ( reviews)
Book Synopsis Accounting for Decision Making and Control by : Jerold L. Zimmerman
Download or read book Accounting for Decision Making and Control written by Jerold L. Zimmerman. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: Accounting for Decision Making and Control provides students and managers with an understanding and appreciation of the strengths and limitations of an organization’s accounting system which allows them to be more intelligent users of these systems. The 6th edition provides a framework for thinking about accounting systems and a basis for analyzing proposed changes to these systems. The text demonstrates that managerial accounting is an integral part of the firm’s organizational architecture, not just an isolated set of computational topics. This new edition has improved its readability and accessibility to students.
Author : Artur Zaporozhets
Release : 2021-11-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 756/5 ( reviews)
Book Synopsis Systems, Decision and Control in Energy III by : Artur Zaporozhets
Download or read book Systems, Decision and Control in Energy III written by Artur Zaporozhets. This book was released on 2021-11-30. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new energy saving methods and technologies for heat power engineering. The book is devoted to topical issues of energy and related industries. Leading Ukrainian scientists from both scientific institutes and educational universities took part in its creation. The research results are presented in 6 parts: electrical engineering, heat power engineering, nuclear power engineering, fossil fuels, cybersecurity and computer science, environmental safety. Results of regulating of operating modes and applicability of model checking technique in power systems are showed. Separate block of questions regarding the functioning of nuclear power plants, their waste and preventive measures of protection against negative effects on living organisms (including, for example, the Chernobyl nuclear power plant) is considered. The results of the peculiarities of the extraction, purification and use of fossil fuels are presented. In some chapters, presented the results on improving the cybersecurity of energy systems and its resilience to various threats, including the use of 5G technology. Traditionally for this series, issues of ecological safety, the impact of different energy systems on the environment and its protection are considered. A book is for researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with energy sector, power systems, ecological safety, etc.
Author : Rolf Johansson
Release : 2011-11-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 658/5 ( reviews)
Book Synopsis Distributed Decision Making and Control by : Rolf Johansson
Download or read book Distributed Decision Making and Control written by Rolf Johansson. This book was released on 2011-11-10. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by congestion-based pricing of a given pathway. The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting. In Distributed Decision Making and Control, the main theme is distributed decision making and control with contributions to a general theory and methodology for control of complex engineering systems in engineering, economics and logistics. This includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems. Academic researchers and graduate students in control science, system theory, and mathematical economics and logistics will find mcu to interest them in this collection, first presented orally by the contributors during a sequence of workshops organized in Spring 2010 by the Lund Center for Control of Complex Engineering Systems, a Linnaeus Center at Lund University, Sweden.>
Author : Mykel J. Kochenderfer
Release : 2022-08-16
Genre : Computers
Kind : eBook
Book Rating : 012/5 ( reviews)
Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer
Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer. This book was released on 2022-08-16. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
