Distributed hybrid control for multiple-pursuer multiple-evader games
Publication
, Journal Article
Zavlanos, MM; Pappas, GJ
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2007
Multiple-pursuer multiple-evader games raise fundamental and novel problems in control theory and robotics. In this paper, we propose a distributed solution to this problem that simultaneously addresses the discrete assignment of pursuers to evaders as well as the continuous control strategies for capturing individual evaders. The resulting hybrid control framework guarantees the mutual exclusion property of the final assignment for all initial conditions as well as capturing all evaders after exploring at most a polynomial number of assignments, dramatically reducing the combinatorial nature of purely discrete assignment problems. © Springer-Verlag Berlin Heidelberg 2007.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2007
Volume
4416 LNCS
Start / End Page
787 / 789
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
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ICMJE
MLA
NLM
Zavlanos, M. M., & Pappas, G. J. (2007). Distributed hybrid control for multiple-pursuer multiple-evader games. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4416 LNCS, 787–789. https://doi.org/10.1007/978-3-540-71493-4_85
Zavlanos, M. M., and G. J. Pappas. “Distributed hybrid control for multiple-pursuer multiple-evader games.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4416 LNCS (January 1, 2007): 787–89. https://doi.org/10.1007/978-3-540-71493-4_85.
Zavlanos MM, Pappas GJ. Distributed hybrid control for multiple-pursuer multiple-evader games. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2007 Jan 1;4416 LNCS:787–9.
Zavlanos, M. M., and G. J. Pappas. “Distributed hybrid control for multiple-pursuer multiple-evader games.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4416 LNCS, Jan. 2007, pp. 787–89. Scopus, doi:10.1007/978-3-540-71493-4_85.
Zavlanos MM, Pappas GJ. Distributed hybrid control for multiple-pursuer multiple-evader games. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2007 Jan 1;4416 LNCS:787–789.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2007
Volume
4416 LNCS
Start / End Page
787 / 789
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences