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Cooperative control and optimization /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht ; Boston :
Kluwer Academic Publishers,
©2002.
|
| Colección: | Applied optimization ;
v. 66. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Cooperative control and optimization / |c edited by Robert Murphey and Panos M. Pardalos. |
| 260 | |a Dordrecht ; |a Boston : |b Kluwer Academic Publishers, |c ©2002. | ||
| 300 | |a 1 online resource (xii, 303 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Applied optimization ; |v v. 66 | |
| 504 | |a Includes bibliographical references. | ||
| 520 | 8 | |a Annotation |b Contains 13 selected refereed papers summarizing recent research in control and optimization of cooperative systems, drawn from the December 2002 Workshop on Cooperative Control and Optimization held in Gainesville, Florida. Covering a range of cooperative control systems ranging from robots operating within a manufacturing well to military surveillance and attack missions, the topics addressed in this volume include guillotine cut in approximation algorithms; autonomous control challenges in unmanned aerial vehicles; optimal periodic stochastic filtering with GRASP; robust recursive Bayesian estimation and quantum minimax strategies; and optimal risk path algorithms. Lacks a subject index. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com). | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover -- Table of Contents -- Preface -- 1 Cooperative Control for Target Classification -- 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 -- 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 Researcher's Perspective -- 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 -- 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 -- 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 -- 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 -- 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 algorithm -- 7.5 Structural complexity of cooperative systems versus optimization problems -- 7.6 Conclusion -- References -- 8 Cooperative Multi-agent Constellation Formation Under Sensing and Communication Constraints -- 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 -- 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 -- 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 -- 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 f. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Decision making. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Control theory. | |
| 650 | 6 | |a Prise de décision. | |
| 650 | 6 | |a Optimisation mathématique. | |
| 650 | 6 | |a Théorie de la commande. | |
| 650 | 7 | |a decision making. |2 aat | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Workplace Culture. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Corporate Governance. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Leadership. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Development. |2 bisacsh | |
| 650 | 7 | |a Control theory |2 fast | |
| 650 | 7 | |a Decision making |2 fast | |
| 650 | 7 | |a Mathematical optimization |2 fast | |
| 653 | |a Andre fag (naturvidenskab og teknik) |a Andre fag | ||
| 700 | 1 | |a Murphey, Robert, |e editor. | |
| 700 | 1 | |a Pardalos, P. M. |q (Panos M.), |d 1954- | |
| 758 | |i has work: |a Cooperative control and optimization (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGmwGk6wqD4tmvXkPVwJrC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Cooperative control and optimization. |d Dordrecht ; Boston : Kluwer Academic Publishers, ©2002 |z 1402005490 |w (DLC) 2002071079 |w (OCoLC)49875029 |
| 830 | 0 | |a Applied optimization ; |v v. 66. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3035623 |z Texto completo |
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