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Study of operational research in management - includes sections on decision making and control, simulation, automation and the outcome for industry and government.
Book Synopsis Decision and Control by : Stafford Beer
Download or read book Decision and Control written by Stafford Beer and published by John Wiley & Sons. This book was released on 1966 with total page 578 pages. 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.
Revised edition of the author's Accounting for decision making and control, [2017]
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 and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised edition of the author's Accounting for decision making and control, [2017]
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.
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 and published by Springer Nature. This book was released on 2021-11-30 with total page 382 pages. 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.
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.
Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer
Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2022-08-16 with total page 701 pages. 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.
This book examines the problems in the field of energy and related areas (including chemistry, transport, aerospace, construction, metallurgy and engineering) that Ukrainian scientists are currently investigating. The research presented focuses on ensuring the operational reliability, durability and safety of energy equipment, as well as the development of control, diagnostics and monitoring systems in the energy sector. Further, the book explores the ecological consequences of energy facilities , particularly environmental pollution in large cities and industrial areas. Written mainly by representatives of the Council of Young Scientists of the Department of Physical and Technical Problems of Energy at the NAS of Ukraine, it is intended for researchers and engineers, as well as lecturers and postgraduates at higher education institutions interested in the control, diagnosis and monitoring of energy facilities.
Book Synopsis Systems, Decision and Control in Energy I by : Vitaliy Babak
Download or read book Systems, Decision and Control in Energy I written by Vitaliy Babak and published by Springer. This book was released on 2021-07-02 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the problems in the field of energy and related areas (including chemistry, transport, aerospace, construction, metallurgy and engineering) that Ukrainian scientists are currently investigating. The research presented focuses on ensuring the operational reliability, durability and safety of energy equipment, as well as the development of control, diagnostics and monitoring systems in the energy sector. Further, the book explores the ecological consequences of energy facilities , particularly environmental pollution in large cities and industrial areas. Written mainly by representatives of the Council of Young Scientists of the Department of Physical and Technical Problems of Energy at the NAS of Ukraine, it is intended for researchers and engineers, as well as lecturers and postgraduates at higher education institutions interested in the control, diagnosis and monitoring of energy facilities.
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.>
Book Synopsis Distributed Decision Making and Control by : Rolf Johansson
Download or read book Distributed Decision Making and Control written by Rolf Johansson and published by Springer. This book was released on 2011-11-10 with total page 438 pages. 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.>
The systematic approach to innovation development today is one of the world’s most prominent scientific fields, and with good reason. When applied correctly, such system produces regular outcomes, which consistently drive lasting competitive advantage. Unfortunately, as much as it is beneficial, the orchestration of an undisturbed flow of multiple complex, dynamic, and flexible innovation development processes is structurally demanding. In this book, a recognised innovation management specialist sets the record straight, offering a comprehensive approach to the improvement of innovation efficiency with the use of management control system. Unlike other books on the subject, it proposes original representation – the CDI model – of the relationships between management control system, decision-making quality, and innovation system efficiency and explains why management control is fundamental to innovation management. In addition to that, inside the reader will find several original developments. These include: the info-deficiency (I-D) model, depicting the various parameters hindering decision-making in innovation development; the product innovation development (PID) system, offering the original function-based approach to innovation management; and the composite innovation index – specially designed tool intended to evaluate the efficiency of an innovation development system. It will be of interest to researchers, academics, practitioners, and advanced students in the fields of management, strategy, and innovation. Chapter 4 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com
Book Synopsis Management Control Systems, Decision-Making, and Innovation Development by : Dawid Szutowski
Download or read book Management Control Systems, Decision-Making, and Innovation Development written by Dawid Szutowski and published by Taylor & Francis. This book was released on 2021-10-03 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The systematic approach to innovation development today is one of the world’s most prominent scientific fields, and with good reason. When applied correctly, such system produces regular outcomes, which consistently drive lasting competitive advantage. Unfortunately, as much as it is beneficial, the orchestration of an undisturbed flow of multiple complex, dynamic, and flexible innovation development processes is structurally demanding. In this book, a recognised innovation management specialist sets the record straight, offering a comprehensive approach to the improvement of innovation efficiency with the use of management control system. Unlike other books on the subject, it proposes original representation – the CDI model – of the relationships between management control system, decision-making quality, and innovation system efficiency and explains why management control is fundamental to innovation management. In addition to that, inside the reader will find several original developments. These include: the info-deficiency (I-D) model, depicting the various parameters hindering decision-making in innovation development; the product innovation development (PID) system, offering the original function-based approach to innovation management; and the composite innovation index – specially designed tool intended to evaluate the efficiency of an innovation development system. It will be of interest to researchers, academics, practitioners, and advanced students in the fields of management, strategy, and innovation. Chapter 4 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com
Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: OCo Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.OCo Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.OCo Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.OCo Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems."
Book Synopsis Fuzzy Decision Making in Modeling and Control by : Joao M. C. Sousa
Download or read book Fuzzy Decision Making in Modeling and Control written by Joao M. C. Sousa and published by World Scientific. This book was released on 2002 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: OCo Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.OCo Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.OCo Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.OCo Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems."
A distinguished group of philosophers, decision theorists, and psychologists offer new interdisciplinary perspectives on the rationality of self-control.
Book Synopsis Self-Control, Decision Theory, and Rationality by : José Luis Bermúdez
Download or read book Self-Control, Decision Theory, and Rationality written by José Luis Bermúdez and published by Cambridge University Press. This book was released on 2018-12-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: A distinguished group of philosophers, decision theorists, and psychologists offer new interdisciplinary perspectives on the rationality of self-control.
"This book presents an application and demonstration of a new mathematical technique for descriptions of complex systems"--Provided by publisher.
Book Synopsis Decision Control, Management, and Support in Adaptive and Complex Systems by : Yuri P. Pavlov
Download or read book Decision Control, Management, and Support in Adaptive and Complex Systems written by Yuri P. Pavlov and published by . This book was released on 2012-12-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents an application and demonstration of a new mathematical technique for descriptions of complex systems"--Provided by publisher.
