Decision and Control

Decision and Control

Author: Stafford Beer

Publisher: John Wiley & Sons

Published: 1966

Total Pages: 578

ISBN-13:

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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.


Accounting for Decision Making and Control

Accounting for Decision Making and Control

Author: Jerold L. Zimmerman

Publisher:

Published: 2009

Total Pages: 733

ISBN-13: 9780071283700

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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.


Systems, Decision and Control in Energy III

Systems, Decision and Control in Energy III

Author: Artur Zaporozhets

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 382

ISBN-13: 3030876756

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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.


Distributed Decision Making and Control

Distributed Decision Making and Control

Author: Rolf Johansson

Publisher: Springer

Published: 2011-11-10

Total Pages: 438

ISBN-13: 1447122658

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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.>


Self-Control, Decision Theory, and Rationality

Self-Control, Decision Theory, and Rationality

Author: José Luis Bermúdez

Publisher: Cambridge University Press

Published: 2018-12-06

Total Pages: 281

ISBN-13: 1108420095

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A distinguished group of philosophers, decision theorists, and psychologists offer new interdisciplinary perspectives on the rationality of self-control.


Algorithms for Decision Making

Algorithms for Decision Making

Author: Mykel J. Kochenderfer

Publisher: MIT Press

Published: 2022-08-16

Total Pages: 701

ISBN-13: 0262047012

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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.


Systems, Decision and Control in Energy I

Systems, Decision and Control in Energy I

Author: Vitaliy P. Babak

Publisher: Springer

Published: 2020-09-04

Total Pages: 279

ISBN-13: 9783030485825

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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.


Fuzzy Decision Making in Modeling and Control

Fuzzy Decision Making in Modeling and Control

Author: Joao M. C. Sousa

Publisher: World Scientific

Published: 2002

Total Pages: 356

ISBN-13: 9812777911

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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."


Management Control Systems, Decision-Making, and Innovation Development

Management Control Systems, Decision-Making, and Innovation Development

Author: Dawid Szutowski

Publisher: Taylor & Francis

Published: 2021-10-03

Total Pages: 357

ISBN-13: 1000471896

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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


Multi-Criteria Decision Making

Multi-Criteria Decision Making

Author: Jitesh J. Thakkar

Publisher: Springer Nature

Published: 2021-02-08

Total Pages: 393

ISBN-13: 9813347457

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p="" The book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation. The topics in this volume help readers understand the techniques in the model building and analysis stage. The chapters cover a variety of techniques and their applications for interesting problems. This book will be of interest to readers in diverse disciplines such as engineering, business, management, humanities, psychology and law. ^