Conferences related to Distributed decision making

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


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Periodicals related to Distributed decision making

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


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Most published Xplore authors for Distributed decision making

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Xplore Articles related to Distributed decision making

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Dynamic depletion mode: An E/D MOSFET circuit method

1978 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1978

This paper will describe the dynamic use of depletion-mode devices resulting in improved performance in MOSFET enhancement/depletion circuits. The method - DDM - applies to the design of logic, memory and driver circuits.


P2P Open Agent Networks for Decision Making

Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007), 2007

Peer-to-peer (P2P) computing, a recently developed network architecture for distributed systems, is currently receiving ever increasing attention of both academia and industry. It has become a driving force for many new ideas and opportunities in design and implementation of modern large scale applications composed of highly autonomous entities. Recent efforts intended to integrate multi-agent, service-orients and P2P architectures aim to ...


Impact of electronic integration on new product development between firms

Innovation in Technology Management. The Key to Global Leadership. PICMET '97, 1997

Summary form only as given. This project examines the use of electronic integration between two firms engaged in co-developing a new product. The authors are interested in uncovering the process by which the two companies moved towards a common information network and new product development process, given their diversity in organizational structure and culture.


Decision-making strategies in product development teams

Innovation in Technology Management. The Key to Global Leadership. PICMET '97, 1997

Summary form only as given. Theory suggests that decentralized decision-making is more effective in uncertain environments, but recent research indicates that centralized decision-making is more effective in product development teams as project risk increases. The contradiction is resolved by predicting differential consequences of uncertainty, equivocally, and decision criticality on effective distribution of decision-making.


Asynchronous, distributed, decision-making systems with semi-autonomous entities: a mathematical framework

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2000

For many military and civilian large-scale, real-world systems of interest, data are first acquired asynchronously, i.e., at irregular intervals of time, at geographically-dispersed sites, processed utilizing decision-making algorithms, and the processed data then disseminated to other appropriate sites. The term real-world refers to systems under computer control that relate to everyday life and are beneficial to the society in the ...


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Educational Resources on Distributed decision making

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IEEE-USA E-Books

  • Dynamic depletion mode: An E/D MOSFET circuit method

    This paper will describe the dynamic use of depletion-mode devices resulting in improved performance in MOSFET enhancement/depletion circuits. The method - DDM - applies to the design of logic, memory and driver circuits.

  • P2P Open Agent Networks for Decision Making

    Peer-to-peer (P2P) computing, a recently developed network architecture for distributed systems, is currently receiving ever increasing attention of both academia and industry. It has become a driving force for many new ideas and opportunities in design and implementation of modern large scale applications composed of highly autonomous entities. Recent efforts intended to integrate multi-agent, service-orients and P2P architectures aim to make these very promising opportunities happen.

  • Impact of electronic integration on new product development between firms

    Summary form only as given. This project examines the use of electronic integration between two firms engaged in co-developing a new product. The authors are interested in uncovering the process by which the two companies moved towards a common information network and new product development process, given their diversity in organizational structure and culture.

  • Decision-making strategies in product development teams

    Summary form only as given. Theory suggests that decentralized decision-making is more effective in uncertain environments, but recent research indicates that centralized decision-making is more effective in product development teams as project risk increases. The contradiction is resolved by predicting differential consequences of uncertainty, equivocally, and decision criticality on effective distribution of decision-making.

  • Asynchronous, distributed, decision-making systems with semi-autonomous entities: a mathematical framework

    For many military and civilian large-scale, real-world systems of interest, data are first acquired asynchronously, i.e., at irregular intervals of time, at geographically-dispersed sites, processed utilizing decision-making algorithms, and the processed data then disseminated to other appropriate sites. The term real-world refers to systems under computer control that relate to everyday life and are beneficial to the society in the large. The traditional approach to such problems consists of designing a central entity which collects all data, executes a decision-making algorithm sequentially to yield the decisions, and propagates the decisions to the respective sites. Centralized decision-making algorithms are slow and highly vulnerable to natural and artificial catastrophes. Recent literature includes successful asynchronous, distributed, decision-making algorithm designs wherein the local decision making at every site replaces the centralized decision making to achieve faster response, higher reliability, and greater accuracy of the decisions. Two key issues include (1) the lack of an approach to synthesize asynchronous, distributed, decision-making algorithms, for any given problem, and (2) the absence of a comparative analysis of the quality of their decisions. This paper proposes MFAD, a Mathematical Framework for Asynchronous, Distributed Systems, that permits the description of centralized decision-making algorithms and facilities the synthesis of distributed decision-making algorithms. MFAD is based on the Kohn-Nerode distributed hybrid control paradigm.

  • A mathematical framework for asynchronous, distributed, decision-making systems with semi-autonomous entities: algorithm synthesis, simulation, and evaluation

    For many military and civilian large-scale, real-world systems of interest, data are first acquired asynchronously, i.e. at irregular intervals of time, at geographically-dispersed sites, processed utilizing decision-making algorithms, and the processed data then disseminated to other appropriate sites. The term real-world refers to systems under computer control that relate to everyday life and are beneficial to the society in the large. The traditional approach to such problems consists of designing a central entity which collects all data, executes a decision making algorithm sequentially to yield the decisions, and propagates the decisions to the respective sites. Centralized decision making algorithms are slow and highly vulnerable to natural and artificial catastrophes. This paper proposes MFAD, a Mathematical Framework for Asynchronous, Distributed Systems, that permits the description of centralized decision-making algorithms and facilities the synthesis of distributed decision-making algorithms. MFAD is based on the Kohn-Nerode distributed hybrid control paradigm. It has been a belief that since the centralized control gathers every necessary data from all entities in the system and utilizes them to compute the decisions, the decisions may be "globally" optimal. In truth, however, as the frequency of the sensor data increases and the environment gets larger, dynamic, and more complex, the decisions are called into question.

  • On the concept of "stability" in asynchronous distributed decision-making systems

    Asynchronous distributed, decision-making (ADDM) systems constitute a special class of distributed problems and are characterized as large, complex, real- world systems wherein the principal elements are the geographically-dispersed entities that communicate among themselves, asynchronously, through message passing and are permitted autonomy in local decision-making. Such systems generally offer significant advantages over the traditional, centralized algorithms in the form of concurrency, scalability, high throughput, efficiency, low vulnerability to catastrophic failures, and robustness. A fundamental property of ADDM systems is stability that refers to their behavior under representative perturbations to their operating environments, given that such systems are intended to be real, complex, and to some extent, mission critical systems, and are subject to unexpected changes in their operating conditions. This paper introduces the concept of stability in ADDM systems and proposes, for the first time, an intuitive definition that reflects those used in Control Systems and Physics. A comprehensive stability analysis on an accurate simulation model will provide the necessary assurance, with a high level of confidence, that the system will perform adequately. An ADDM system is defined as a stable system if it returns to a steady-state in finite time, following perturbation, provided that it is initiated in a steady-state. Equilibrium or steady-state is defined through placing bounds on the measured error in the system. Where the final steady-state is equivalent to the initial one, the system is referred to as strongly stable. If the final steady-state is potentially worse then the initial one, the system is deemed marginally stable. When the system fails to return to steady-state following the perturbation, it is unstable. The perturbations are classified as either changes in the input pattern or changes in one or more environmental characteristics of the system such as hardware failures. To facilitate the understanding of stability in representative real-world systems, this paper reports the in-depth analysis of a basic manifestation of ADDM systems-a decentralized military command and control problem, MFAD. The entities in MFAD lack temporal external inputs and their interactions are subject to their initial conditions. Stability analysis of MFAD accurately highlights key stable and unstable conditions. Performance analysis reveals that MFAD is strongly stable to perturbations of short durations, it is inherently marginally stable, the sensor degradation bears a greater impact on sensor error than movement error, and the impact of communication failure is higher on movement error as opposed to sensor error.

  • A principle of distributed decision making of Cellular Robotic System (CEBOT)

    The Cellular Robotic System (CEBOT) is studied with the aim of realizing a self-organizing robotic system. A principle of the distributed decision making method for a multi-agents robotic system is reported. Some simple control laws which each unit should obey are proposed. The conditions of parameters of the control laws to keep the total system stable are also discussed. To demonstrate the efficiency of the proposed method, a simple task (carry the object) is carried out by some mobile cells which obey the methods from simulation experiments. The optimal number of cells to execute the task is evaluated and discussed.<<ETX>>

  • A decision-making based approach for fault-handling in multi-agent systems

    This paper focuses on distributed fault recovery in agent-based systems by providing help for faulty members. In the presented method, if one faulty agent requests for help or agents are informed of fault in one of their teammates, they first decide if they are able to help or not. In the case that they are able to help and several help requests exist, helper agents specify a sequence of help actions through another distributed decision-making phase. The introduced fault clearing method is totally distributed in the sense that each helper agent makes its decisions by itself and no central or special agent exists in the system. In fact, the decision making process and the required information are designed such that the agents cooperate implicitly to prevent the system performance loss. The developed ideas are implemented in a simulated distributed control system. As it is shown, the proposed distributed fault-clearing method through reconfiguring the agents' roles is very effective.

  • A Multi-attribute Decision-making Method with Interval-numbers and its Application

    In view of the limitation in describing the fuzzy evaluating values by interval-numbers which belong to the uniform distributions, a decision-making method with interval- numbers of the normal distributions is proposed. The probability measures of interval-numbers are analysed, and the method for producing interval-numbers of the normal distribution is introduced. Two fuzzy operators are designed to aggregate the fuzzy comprehensive evaluating vectors. The comprehensive evaluating values are produced by fuzzy random simulation, so the alternatives are ranked using the mean and variance of the samples. The method is applied to evaluation of alternatives about logistics centre location. Finally, an example is given to demonstrate the validity of this method.



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