Theory And Algorithms For Cooperative Systems PDF Download
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Author | : Don A. Grundel |
Publisher | : World Scientific |
Total Pages | : 608 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9789812796592 |
Download Theory and Algorithms for Cooperative Systems Book in PDF, ePub and Kindle
Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve OCo while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003. This book has been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP- / ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). OCo CC Proceedings OCo Engineering & Physical Sciences. Contents: Mesh Stability in Formation of Distributed Systems (C Ashokkumar et al.); On the Performance of Heuristics for Broadcast Scheduling (C Commander et al.); Coupled Detection Rates: An Introduction (D Jeffcoat); Decentralized Receding Horizon Control for Multiple UAVs (Y Kuwata & J How); Multitarget Sensor Management of Dispersed Mobile Sensors (R Mahler); K-Means Clustering Using Entropy Minimization (A Okafor & P Pardalos); Possibility Reasoning and the Cooperative Prisoner''s Dilemma (H Pfister & J Walls); Coordinating Very Large Groups of Wide Area Search Munitions (P Scerri et al.); A Vehicle Following Methodology for UAV Formations (S Spry et al.); Decentralized Optimization via Nash Bargaining (S Waslander et al.); and other papers. Readership: Graduate students and researchers in optimization and control, computer science and engineering."
Author | : Don Grundel |
Publisher | : World Scientific |
Total Pages | : 603 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9812560203 |
Download Theory and Algorithms for Cooperative Systems Book in PDF, ePub and Kindle
Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve — while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003.This book has been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
Author | : Sergiy Butenko |
Publisher | : Springer Science & Business Media |
Total Pages | : 365 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 1475737580 |
Download Cooperative Control: Models, Applications and Algorithms Book in PDF, ePub and Kindle
During the last decades, considerable progress has been observed in all aspects regarding the study of cooperative systems including modeling of cooperative systems, resource allocation, discrete event driven dynamical control, continuous and hybrid dynamical control, and theory of the interaction of information, control, and hierarchy. Solution methods have been proposed using control and optimization approaches, emergent rule based techniques, game theoretic and team theoretic approaches. Measures of performance have been suggested that include the effects of hierarchies and information structures on solutions, performance bounds, concepts of convergence and stability, and problem complexity. These and other topics were discusses at the Second Annual Conference on Cooperative Control and Optimization in Gainesville, Florida. Refereed papers written by selected conference participants from the conference are gathered in this volume, which presents problem models, theoretical results, and algorithms for various aspects of cooperative control. Audience: The book is addressed to faculty, graduate students, and researchers in optimization and control, computer sciences and engineering.
Author | : Robert Murphey |
Publisher | : Springer Science & Business Media |
Total Pages | : 306 |
Release | : 2006-04-18 |
Genre | : Mathematics |
ISBN | : 0306475367 |
Download Cooperative Control and Optimization Book in PDF, ePub and Kindle
A cooperative system is defined to be multiple dynamic entities that share information or tasks to accomplish a common, though perhaps not singular, objective. Examples of cooperative control systems might include: robots operating within a manufacturing cell, unmanned aircraft in search and rescue operations or military surveillance and attack missions, arrays of micro satellites that form a distributed large aperture radar, employees operating within an organization, and software agents. The term entity is most often associated with vehicles capable of physical motion such as robots, automobiles, ships, and aircraft, but the definition extends to any entity concept that exhibits a time dependent behavior. Critical to cooperation is communication, which may be accomplished through active message passing or by passive observation. It is assumed that cooperation is being used to accomplish some common purpose that is greater than the purpose of each individual, but we recognize that the individual may have other objectives as well, perhaps due to being a member of other caucuses. This implies that cooperation may assume hierarchical forms as well. The decision-making processes (control) are typically thought to be distributed or decentralized to some degree. For if not, a cooperative system could always be modeled as a single entity. The level of cooperation may be indicated by the amount of information exchanged between entities. Cooperative systems may involve task sharing and can consist of heterogeneous entities. Mixed initiative systems are particularly interesting heterogeneous systems since they are composed of humans and machines. Finally, one is often interested in how cooperative systems perform under noisy or adversary conditions. In December 2000, the Air Force Research Laboratory and the University of Florida successfully hosted the first Workshop on Cooperative Control and Optimization in Gainesville, Florida. This book contains selected refereed papers summarizing the participants' research in control and optimization of cooperative systems. Audience: Faculty, graduate students, and researchers in optimization and control, computer sciences and engineering.
Author | : SERGIY. BUTENKO |
Publisher | : |
Total Pages | : 0 |
Release | : 2003 |
Genre | : |
ISBN | : |
Download COOPERATIVE CONTROL: MODELS, APPLICATIONS AND ALGORITHMS; COOPERATIVE SYSTEMS; VOL 1 Book in PDF, ePub and Kindle
Author | : Georgios Chalkiadakis |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 170 |
Release | : 2011-10-01 |
Genre | : Computers |
ISBN | : 1608456536 |
Download Computational Aspects of Cooperative Game Theory Book in PDF, ePub and Kindle
Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games: a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them. We briefly discuss games with non-transferable utility and partition function games. We then overview algorithms for identifying welfare-maximizing coalition structures and methods used by rational agents to form coalitions (even under uncertainty), including bargaining algorithms. We conclude by considering some developing topics, applications, and future research directions.
Author | : Don Grundel |
Publisher | : Springer Science & Business Media |
Total Pages | : 408 |
Release | : 2007-03-21 |
Genre | : Business & Economics |
ISBN | : 3540482717 |
Download Cooperative Systems Book in PDF, ePub and Kindle
Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.
Author | : Chryssis Georgiou |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 170 |
Release | : 2011 |
Genre | : Computers |
ISBN | : 1608452875 |
Download Cooperative Task-oriented Computing Book in PDF, ePub and Kindle
Cooperative network supercomputing is becoming increasingly popular for harnessing the power of the global Internet computing platform. A typical Internet supercomputer consists of a master computer or server and a large number of computers called workers, performing computation on behalf of the master. Despite the simplicity and benefits of a single master approach, as the scale of such computing environments grows, it becomes unrealistic to assume the existence of the infallible master that is able to coordinate the activities of multitudes of workers. Large-scale distributed systems are inherently dynamic and are subject to perturbations, such as failures of computers and network links, thus it is also necessary to consider fully distributed peer-to-peer solutions. We present a study of cooperative computing with the focus on modeling distributed computing settings, algorithmic techniques enabling one to combine efficiency and fault-tolerance in distributed systems, and the exposition of trade-offs between efficiency and fault-tolerance for robust cooperative computing. The focus of the exposition is on the abstract problem, called Do-All, and formulated in terms of a system of cooperating processors that together need to perform a collection of tasks in the presence of adversity. Our presentation deals with models, algorithmic techniques, and analysis. Our goal is to present the most interesting approaches to algorithm design and analysis leading to many fundamental results in cooperative distributed computing. The algorithms selected for inclusion are among the most efficient that additionally serve as good pedagogical examples. Each chapter concludes with exercises and bibliographic notes that include a wealth of references to related work and relevant advanced results. Table of Contents: Introduction / Distributed Cooperation and Adversity / Paradigms and Techniques / Shared-Memory Algorithms / Message-Passing Algorithms / The Do-All Problem in Other Settings / Bibliography / Authors' Biographies
Author | : Yusuf Yagiz Savas |
Publisher | : |
Total Pages | : 0 |
Release | : 2022 |
Genre | : |
ISBN | : |
Download Algorithms for Cooperative and Competitive Autonomous Systems Book in PDF, ePub and Kindle
Autonomous systems no longer operate in isolation. In many applications, ranging from ride-hailing to on-demand delivery and surveillance, they carry out tasks in the presence of other autonomous systems and humans. For successful operations in these applications, autonomous systems need to reason about uncertainty to co-exist alongside other agents, understand motivations to cooperate with friends, and strategically manipulate information to compete against adversaries. In this dissertation, we present novel cooperation and competition capabilities for autonomous systems to accomplish tasks with theoretical performance guarantees in the presence of other agents. First, we focus on cooperation and develop algorithms for an autonomous agent to influence the behavior of another agent through sequential incentive offers. Second, we consider an autonomous agent operating in adversarial environments and develop algorithms for the agent to compete against adversaries by minimizing the predictability of its goal-directed behavior. Third, we develop an algorithm for an autonomous agent to deceive outside observers regarding its intentions while carrying out tasks in stochastic environments. For each of these capabilities, we model the agent behavior via Markov decision processes and present a comprehensive theoretical analysis that establishes conditions for the existence of optimal solutions and the complexity of computing those solutions. Furthermore, we contribute to the theory of Markov decision processes by presenting an analysis for a new formulation that combines total discounted cost criterion with a reachability constraint
Author | : Ying Tan |
Publisher | : Springer |
Total Pages | : 597 |
Release | : 2013-05-14 |
Genre | : Computers |
ISBN | : 3642387039 |
Download Advances in Swarm Intelligence Book in PDF, ePub and Kindle
This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The papers are organized in 22 cohesive sections covering all major topics of swarm intelligence research and developments. The following topics are covered in this volume: analysis of swarm intelligence based algorithms, particle swarm optimization, applications of particle swarm optimization algorithms, ant colony optimization algorithms, biogeography-based optimization algorithms, novel swarm-based search methods, bee colony algorithms, differential evolution, neural networks, fuzzy methods, evolutionary programming and evolutionary games.