An edition of Cooperative control and optimization
(2002)
Cooperative control and optimization
by Robert Murphey and Panos M. Pardalos
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Cooperative Control and Optimization
2006, Springer London, Limited
in English
0306475367 9780306475368
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Cooperative Control and Optimization (Applied Optimization)
May 31, 2002, Springer
Hardcover
in English
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1402005490 9781402005497
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Cooperative control and optimization
2002, Kluwer Academic Publishers, Springer
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1402005490 9781402005497
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Book Details
Table of Contents
Machine generated contents note: 1
Cooperative Control for Target Classification
P. R. Chandler, M. Pachter, Kendall E. Nygard and Dharba Swaroop
1.1 Introduction
1.2 Joint classification
1.3 Assignment
1.4 Hierarchical architecture
1.5 Simulation
1.6 Classification issues
1.7 Conclusions
References
2
Guillotine Cut in Approximation Algorithms
Xiuzhen Cheng, Ding-Zhu Du, Joon-Mo Kim and Hung Quang Ngo
2.1 Introduction
2.2 Rectangular partition and guillotine cut
2.3 1-Guillotine cut
2.4 m-Guillotine cut
2.5 Portals
References
3
Unmanned Aerial Vehicles: Autonomous Control Challenges, A Re-
searcher's Perspective
Bruce T. Clough
3.1 Introduction
3.2 Background
3.3 The Challenges
3.4 How are we approaching these challenges?
3.5 Where are we heading from here?
References
Appendix: Notes
4
Optimal periodic stochastic filtering with GRASP
Paola Festa and Giancarlo Raiconi
4.1 Introduction and problem statement
4.2 Two interesting particular cases
4.3 Discrete problem formulation
4.4 Numerical results
References
5
Cooperative Control of Robot Formations
Rafael Fierro, Peng Song, Aveek Das, and Vijay Kumar
5.1 Introduction
5.2 Framework for cooperative control
5.3 Formation control
5.4 Trajectory generation using contact dynamics models
5.5 Simulation results
5.6 Conclusions
References
6
Cooperative Behavior Schemes for Improving the Effectiveness of
Autonomous Wide Area Search Munitions
Daniel P. Gillen and David R. Jacques
6.1 Introduction
6.2 Baseline computer simulation
6.3 Simulation modifications
6.4 Applied response surface methodologies
6.5 Results and analysis
6.6 Conclusions and recommendations
References
7
On a General Framework to Study Cooperative Systems
Victor Korotkich
7.1 Introduction
7.2 Structural complexity
7.3 Parameter extension of the optimal algorithm
7.4 Critical point in the parameter extension: the optimal algo-
rithm
7.5 Structural complexity of cooperative systems versus optimiza-
tion problems
7.6 Conclusion
References
8
Cooperative Multi-agent Constellation Formation Under Sensing
and Communication Constraints
Lit-Hsin Loo, Erwei Lin, Moshe Kam & Pramod Varshney
8.1 Introduction
8.2 Group formation by autonomous homogeneous agents
8.3 The noiseless full-information case
8.4 Limitations on communications and sensing
8.5 Limitation of communications
8.6 Oscillations due to sensing limitation
8.7 Group formation with partial view
8.8 The use of 'meeting point' for target assignment
8.9 Conclusion
References
9
An Introduction to Collective and Cooperative Systems
Robert Murphey
9.1 Preliminaries in game and team theory
9.2 Collective systems.
9.3 Precedence, hierarchy, and supervision
9.4 Summary
References
10
Cooperative Aircraft Control for Minimum Radar Exposure
Meir Pachter and Jeffrey Hebert
10.1 Single vehicle radar exposure minimization
10.2 Multiple vehicle isochronous rendezvous
10.3 Conclusion
References
11
Robust Recursive Bayesian Estimation and Quantum Minimax Strategies
P. Pardalos, V. Yatsenko and S. Butenko
11.1 Introduction
11.2 Differential geometry of Bayesian estimation
11.3 Optimal recursive estimation
11.4 Quantum realization of minimax Bayes strategies
11.5 Concluding remarks
References
12
Cooperative Control for Autonomous Air Vehicles
Kevin Passino Marios Polycarpou, David Jacques, Meir Pachter, Yang.
Yanli Yang, Matt Flint and Michael Baum
12.1 Introduction
12.2 Autonomous munition problem
12.3 Cooperative control via distributed learning and planning
12.4 Stable vehicular swarms
12.5 Biomimicry of foraging for cooperative control
12.6 Concluding remarks
References
13
Optimal Risk Path Algorithms
Michael Zabarankin, Stanislav Uryasev, Panos Pardalos
13.1 Model description and setup of the optimization problem
13.2 Analytical solution approach for the risk path optimization
problem
13.3 Discrete optimization approach for optimal risk path genera-
tion with a constraint on the length
13.4 Concluding remarks.
Edition Notes
Includes bibliographical references.
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| June 29, 2019 | Created by MARC Bot | import existing book |