메뉴 건너뛰기




Volumn , Issue , 2011, Pages 2434-2440

Designing games for distributed optimization

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL THEORY; DECISION MAKING; DECISION THEORY; DESIGN; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; SYSTEMS ANALYSIS;

EID: 84859713889     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2011.6161053     Document Type: Conference Paper
Times cited : (47)

References (32)
  • 1
    • 0021120121 scopus 로고
    • Convergence and asymptotic agreement in distributed decision problems
    • IEEE Transactions on
    • J. Tsitsiklis and M. Athans. Convergence and asymptotic agreement in distributed decision problems. Automatic Control, IEEE Transactions on, 29(1):42-50, 1984.
    • (1984) Automatic Control , vol.29 , Issue.1 , pp. 42-50
    • Tsitsiklis, J.1    Athans, M.2
  • 2
    • 64149119332 scopus 로고    scopus 로고
    • Consensus and cooperation in networked multi-agent systems
    • January
    • R. Olfati-saber, J. A. Fax, and R. M. Murray. Consensus and cooperation in networked multi-agent systems. In Proceedings of the IEEE, volume 95, January 2007.
    • (2007) Proceedings of the IEEE , vol.95
    • Olfati-Saber, R.1    Fax, J.A.2    Murray, R.M.3
  • 3
    • 46149107173 scopus 로고    scopus 로고
    • Equilibrium of heterogeneous congestion control: Existence and uniqueness
    • October
    • A. Tang, J. Wang, S. H. Low, and M. Chiang. Equilibrium of heterogeneous congestion control: Existence and uniqueness. IEEE/ACM Transactions on Networking, 15(4):824-837, October 2007.
    • (2007) IEEE/ACM Transactions on Networking , vol.15 , Issue.4 , pp. 824-837
    • Tang, A.1    Wang, J.2    Low, S.H.3    Chiang, M.4
  • 5
    • 61449149413 scopus 로고    scopus 로고
    • A game-theoretic approach to efficient power management in sensor networks
    • E. Campos-Nanez, A. Garcia, and C. Li. A game-theoretic approach to efficient power management in sensor networks. Operations Research, 56(3):552, 2008.
    • (2008) Operations Research , vol.56 , Issue.3 , pp. 552
    • Campos-Nanez, E.1    Garcia, A.2    Li, C.3
  • 6
    • 85032752025 scopus 로고    scopus 로고
    • Flexible design of cognitive radio wireless systems: From game theory to variational inequality theory
    • September
    • G. Scutari, D. P. Palomar, and J. Pang. Flexible design of cognitive radio wireless systems: from game theory to variational inequality theory. IEEE Signal Processing Magazine, 26(5):107-123, September 2009.
    • (2009) IEEE Signal Processing Magazine , vol.26 , Issue.5 , pp. 107-123
    • Scutari, G.1    Palomar, D.P.2    Pang, J.3
  • 9
    • 77953299935 scopus 로고    scopus 로고
    • Multipath wireless network coding: A population game perspective
    • 2010 Proceedings IEEE IEEE
    • V. Reddy, S. Shakkottai, A. Sprintson, and N. Gautam. Multipath wireless network coding: a population game perspective. In INFOCOM, 2010 Proceedings IEEE, pages 1-9. IEEE, 2010.
    • (2010) INFOCOM , pp. 1-9
    • Reddy, V.1    Shakkottai, S.2    Sprintson, A.3    Gautam, N.4
  • 14
    • 61349086863 scopus 로고    scopus 로고
    • Joint strategy fictitious play with inertia for potential games
    • IEEE Transactions on
    • J.R. Marden, G. Arslan, and J.S. Shamma. Joint strategy fictitious play with inertia for potential games. Automatic Control, IEEE Transactions on, 54(2):208-220, 2009.
    • (2009) Automatic Control , vol.54 , Issue.2 , pp. 208-220
    • Marden, J.R.1    Arslan, G.2    Shamma, J.S.3
  • 21
    • 0032186984 scopus 로고    scopus 로고
    • Incremental gradient algorithms with stepsizes bounded away from zero
    • M. V. Solodov. Incremental gradient algorithms with stepsizes bounded away from zero. Computational Optimization and Applications, 11(1):23-35, 1998.
    • (1998) Computational Optimization and Applications , vol.11 , Issue.1 , pp. 23-35
    • Solodov, M.V.1
  • 22
    • 39449100600 scopus 로고    scopus 로고
    • A convergent incremental gradient method with a constant step size
    • D. Blatt, A.O. Hero, and H. Gauchman. A convergent incremental gradient method with a constant step size. SIAM Journal on Optimization, 18(1):29-51, 2008.
    • (2008) SIAM Journal on Optimization , vol.18 , Issue.1 , pp. 29-51
    • Blatt, D.1    Hero, A.O.2    Gauchman, H.3
  • 23
    • 0022783899 scopus 로고
    • Distributed asynchronous deterministic and stochastic gradient optimization algorithms
    • IEEE Transactions on
    • J. Tsitsiklis, D. Bertsekas, and M. Athans. Distributed asynchronous deterministic and stochastic gradient optimization algorithms. Automatic Control, IEEE Transactions on, 31(9):803-812, 1986.
    • (1986) Automatic Control , vol.31 , Issue.9 , pp. 803-812
    • Tsitsiklis, J.1    Bertsekas, D.2    Athans, M.3
  • 24
    • 77958599285 scopus 로고    scopus 로고
    • On distributed averaging algorithms and quantization effects
    • IEEE Transactions on
    • A. Nedic, A. Olshevsky, A. Ozdaglar, and J.N. Tsitsiklis. On distributed averaging algorithms and quantization effects. Automatic Control, IEEE Transactions on, 54(11):2506-2517, 2009.
    • (2009) Automatic Control , vol.54 , Issue.11 , pp. 2506-2517
    • Nedic, A.1    Olshevsky, A.2    Ozdaglar, A.3    Tsitsiklis, J.N.4
  • 25
    • 84860653725 scopus 로고    scopus 로고
    • Distributed subgradient methods for convex optimization over random networks
    • IEEE Transactions on
    • I. Lobel and A. Ozdaglar. Distributed subgradient methods for convex optimization over random networks. Automatic Control, IEEE Transactions on, (99):1-1, 2010.
    • (2010) Automatic Control , vol.99 , pp. 1-1
    • Lobel, I.1    Ozdaglar, A.2
  • 27
    • 28644435773 scopus 로고    scopus 로고
    • Agreement over random networks
    • IEEE Transactions on
    • Y. Hatano and M. Mesbahi. Agreement over random networks. Automatic Control, IEEE Transactions on, 50(11):1867-1872, 2005.
    • (2005) Automatic Control , vol.50 , Issue.11 , pp. 1867-1872
    • Hatano, Y.1    Mesbahi, M.2
  • 28
    • 84860659007 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. working paper, Stanford Univ, 2010.
    • (2010) Working Paper, Stanford Univ
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 31
    • 13844280666 scopus 로고    scopus 로고
    • Equilibrium, evolutionary stability and gradient dynamics
    • S. D. Flam. Equilibrium, evolutionary stability and gradient dynamics. Int. Game Theory Rev, 4(4):357-370, 2002.
    • (2002) Int. Game Theory Rev , vol.4 , Issue.4 , pp. 357-370
    • Flam, S.D.1
  • 32
    • 16244381482 scopus 로고    scopus 로고
    • Dynamic fictitious play, dynamic gradient play, and distributed convergence to nash equilibria
    • March
    • J. Shamma and G. Arslan. Dynamic fictitious play, dynamic gradient play, and distributed convergence to nash equilibria. IEEE Transactions on Automatic Control, 50(3):312-327, March 2005.
    • (2005) IEEE Transactions on Automatic Control , vol.50 , Issue.3 , pp. 312-327
    • Shamma, J.1    Arslan, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.