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9781402010828

Cooperative Control

by ; ;
  • ISBN13:

    9781402010828

  • ISBN10:

    1402010826

  • Format: Hardcover
  • Copyright: 2003-04-01
  • Publisher: Kluwer Academic Pub
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Summary

A cooperative system is a collection of dynamical objects, which communicate and cooperate in order to achieve a common or shared objective. The cooperation of entities is achieved through communication; either explicitly by message passing, or implicitly via observation of another entities' state. As in natural systems, cooperation may assume a hierarchical form and the control processes may be distributed or decentralized. Due to the dynamic nature of individuals and the interaction between them, the problems associated with cooperative systems typically involve many uncertainties. Moreover, in many cases cooperative systems are required to operate in a noisy or hazardous environment, which creates special challenges for designing the control process. 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.

Table of Contents

Preface xi
N-Ocular Volume Holographic Imaging
1(22)
George Barbastathis
Arnab Sinha
Hybrid Imaging
2(2)
Principles of Volume Holographic Imaging
4(5)
Volume Diffraction Theory
9(6)
Telescopic Imaging with Cooperative Volume Holographic Sensors
15(5)
Conclusions and Ongoing Work
20(3)
Multi-Task Allocation and Path Planning for Cooperating UAVs
23(20)
John Bellingham
Michael Tillerson
Arthur Richards
Jonathan P. How
Introduction
24(3)
Problem Formulation
27(1)
Algorithm Overview
28(2)
Finding Feasible Permutations and Associated Costs
30(2)
Task Allocation
32(3)
Reaction to Dynamic Environment
35(1)
Simulations
36(3)
Conclusions
39(4)
On the Construction of Virtual Backbone for Ad Hoc Wireless Network
43(12)
Sergiy Butenko
Xiuzhen Cheng
Ding-Zhu Du
Panos M. Pardalos
Introduction
44(2)
Preliminaries
46(1)
An 8-Approximate Algorithm to Compute CDS
47(3)
Simulation
50(1)
Conclusion
51(4)
Control Graphs for Robot Networks
55(20)
Aveek Das
Rafael Fierro
Vijay Kumar
Introduction
56(1)
Formation Model
57(2)
Stability
59(5)
Choice of Control Graphs
64(6)
Discussion
70(1)
Conclusions
70(5)
Search, Classification and Attack Decisions
75(20)
David R. Jacques
Introduction
75(1)
The Single Munition/Single Target Case
76(2)
The Single Munition/Multiple Target Case
78(2)
Analytic Multi-Munition Extensions
80(5)
Implications for Cooperative Behavior
85(6)
Conclusions
91(4)
Path Planning for Unmanned Aerial Vehicles in Uncertain and Adversarial Environments
95(16)
Myungsoo Jun
Raffaello D'Andrea
Introduction
96(1)
Graph Theory
97(1)
Probability Map
98(1)
Problem Formulation
99(1)
Conversion to a Shortest Path Problem
100(2)
UAV Path Planning
102(2)
Multiple UAVs
104(1)
Simulation
105(3)
Discussion and Future Research
108(3)
Automatically Synthesized Controllers for Distributed Assembly
111(18)
Eric Klavins
Introduction
111(2)
The Problem
113(3)
Compilation of Assembly Rules from Specifications
116(4)
Implementation of Assembly Rules
120(2)
Partial Correctness of the Assembly Process
122(3)
Conclusion
125(4)
The Search for the Universal Concept of Complexity and a General Optimality Condition of Cooperative Agents
129(36)
Victor Korotkich
Introduction
129(5)
Sequences and Integer Code Series
134(2)
Structural Numbers of Sequences and their Geometrical Interpretation
136(2)
Structural Numbers and Integer Relations
138(3)
Integer Patterns: Geometrical Meaning of the Integer Relations and their Formations
141(4)
Isomorphism between Hierarchical Formations of Integer Relations and Integer Patterns
145(4)
The Hierarchical Formations as a Final Theory
149(2)
Structural Complexity
151(2)
On General Optimality Condition of Agents Best Performance
153(1)
Representation of Fitness Landscapes in terms of Structural Complexity
154(2)
A General Optimality Condition of Cooperative Agents
156(4)
Conclusions
160(5)
Robust Decision Making: Addressing Uncertainties In Distributions
165(22)
Pavlo Krokhmal
Robert Murphey
Panos Pardalos
Stanislav Uryasev
Grigory Zrazhevski
Introduction
166(1)
The General Approach
167(4)
Example: Stochastic Weapon-Target Assignment Problem
171(7)
Numerical Results
178(5)
Conclusions
183(1)
Appendix. Formal Definition of CVaR
183(4)
Network-Centric MFA Tracking Architectures
187(28)
Suihua Lu
Aubrey B. Poore
Tracking and Communication Architecture
190(13)
Simulation Results: Comparisons and Discussions
203(8)
Future Directions of Research and Recommendations
211(4)
Technologies Leading to Unified Multi-Agent Collection and Coordination
215(38)
Ronald Mahler
Ravi Prasanth
Introduction
216(8)
Approach: Multi-Agent Coordination
224(9)
Approach: Multi-Agent Collection
233(13)
Conclusions
246(7)
Optimal Trajectories for Cooperative Classification
253(30)
Meir Pachter
Jeffrey Hebert
Optimal Look Angles for ATR
253(4)
Optimal Angular Separation for Second Look
257(4)
Minimum Time Trajectories with a Minimum Turning Radius Constraint
261(8)
Minimum Time Trajectories for Target Classification
269(7)
Cooperative Target Classification
276(3)
Conclusion
279(4)
Cooperative Control Design for Uninhabited Air Vehicles
283(40)
Marios Polycarpou
Yanli Yang
Yang Liu
Kevin Passino
Introduction
284(3)
Cooperative Control Formulation
287(8)
On-Line Cooperation by Distributed Agents
295(6)
Simulation Results
301(7)
Stability Analysis of Swarms
308(7)
Concluding Remarks
315(8)
Coupling in UAV Cooperative Control
323(26)
Corey J. Schumacher
Phillip R. Chandler
Meir Pachter
Introduction
324(2)
Sub-Teams
326(3)
Single Assignment
329(3)
Multiple Assignment
332(10)
Simulation Results
342(4)
Conclusions
346(3)
Optimal Adaptive Target Shooting with Imperfect Feedback Systems
349(1)
Samuel S. Wu
Zuo-Jun Max Shen
Mark C. K. Yang
Introduction
350(2)
Posterior Intact Probability
352(1)
Best Myopic Strategy
353(2)
Comparison of Two Imperfect Feedback Systems
355(7)
Discussions
362

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