Cooperative control and optimization

XII, 303 S

graph. Darst

Applied optimization. - New York, NY : Springer, ISSN 1384-6485, ZDB-ID 1388651-4. - Vol. 66

Includes bibliographical references and index. - Enth. 13

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

0206

ECONIS - Online Catalogue of the ZBW