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Volumn 21, Issue 5, 2011, Pages 746-755

An iterative scheme for distributed model predictive control using Fenchel's duality

Author keywords

Decentralized and cooperative control; Distributed model predictive control; Distributed optimization; Dual decomposition methods

Indexed keywords

CO-OPERATIVE CONTROL; CONVERGENCE RATES; COUPLED LINEAR SYSTEMS; DECOMPOSITION TECHNIQUE; DISTRIBUTED MODEL PREDICTIVE CONTROL; DISTRIBUTED OPTIMIZATION; DUAL DECOMPOSITION METHODS; INDUSTRIAL PROCESSS; ITERATIVE APPROACH; ITERATIVE SCHEMES; LOCAL COMMUNICATIONS; NUMERICAL EXAMPLE; PARALLEL METHOD; SUB-PROBLEMS;

EID: 79955771282     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.12.009     Document Type: Article
Times cited : (33)

References (35)
  • 1
    • 0041802770 scopus 로고    scopus 로고
    • A survey of industrial model predictive control technology
    • DOI 10.1016/S0967-0661(02)00186-7, PII S0967066102001867
    • S.J. Qin, and T.A. Badgwell A survey of industrial model predictive control technology Control Engineering Practice 11 7 2003 733 764 (Pubitemid 36906334)
    • (2003) Control Engineering Practice , vol.11 , Issue.7 , pp. 733-764
    • Qin, S.J.1    Badgwell, T.A.2
  • 3
    • 0033876326 scopus 로고    scopus 로고
    • Constrained model predictive control: Stability and optimality
    • DOI 10.1016/S0005-1098(99)00214-9
    • D.Q. Mayne, J.B. Rawlings, C.V. Rao, and P.O.M. Scokaert Constrained model predictive control: stability and optimality Automatica 36 7 2000 789 814 (Pubitemid 30587683)
    • (2000) Automatica , vol.36 , Issue.6 , pp. 789-814
    • Mayne, D.Q.1    Rawlings, J.B.2    Rao, C.V.3    Scokaert, P.O.M.4
  • 7
    • 52049115631 scopus 로고    scopus 로고
    • Coordinating multiple optimization-based controllers: New opportunities and challenges
    • J.B. Rawlings, and B.T. Stewart Coordinating multiple optimization-based controllers: new opportunities and challenges Journal of Process Control 18 9 2008 839 845
    • (2008) Journal of Process Control , vol.18 , Issue.9 , pp. 839-845
    • Rawlings, J.B.1    Stewart, B.T.2
  • 8
    • 64849107578 scopus 로고    scopus 로고
    • Architectures for distributed and hierarchical model predictive control - A review
    • R. Scattolini Architectures for distributed and hierarchical model predictive control - a review Journal of Process Control 19 5 2009 723 731
    • (2009) Journal of Process Control , vol.19 , Issue.5 , pp. 723-731
    • Scattolini, R.1
  • 9
    • 33144484176 scopus 로고    scopus 로고
    • Distributed receding horizon control for multi-vehicle formation stabilization
    • DOI 10.1016/j.automatica.2005.12.008, PII S0005109806000136
    • W.B. Dunbar, and R.M. Murray Distributed receding horizon control for multi-vehicle formation stabilization Automatica 42 4 2006 549 558 (Pubitemid 43267649)
    • (2006) Automatica , vol.42 , Issue.4 , pp. 549-558
    • Dunbar, W.B.1    Murray, R.M.2
  • 10
    • 33750431727 scopus 로고    scopus 로고
    • Decentralized receding horizon control for large scale dynamically decoupled systems
    • DOI 10.1016/j.automatica.2006.07.008, PII S0005109806003049
    • T. Keviczky, F. Borrelli, and G.J. Balas Decentralized receding horizon control for large scale dynamically decoupled systems Automatica 42 12 2006 2105 2115 (Pubitemid 44647201)
    • (2006) Automatica , vol.42 , Issue.12 , pp. 2105-2115
    • Keviczky, T.1    Borrelli, F.2    Balas, G.J.3
  • 11
    • 34648828884 scopus 로고    scopus 로고
    • Robust distributed model predictive control
    • DOI 10.1080/00207170701491070, PII 780496362
    • A. Richards, and J. How Robust distributed model predictive control International Journal of Control 80 9 2007 1517 1531 (Pubitemid 47460785)
    • (2007) International Journal of Control , vol.80 , Issue.9 , pp. 1517-1531
    • Richards, A.1    How, J.P.2
  • 13
    • 0036055792 scopus 로고    scopus 로고
    • Min-max feedback model predictive control for distributed control with communication
    • D. Jia, and B. Krogh Min-max feedback model predictive control for distributed control with communication American Control Conference, vol. 6 2002 4507 4512
    • (2002) American Control Conference, Vol. 6 , pp. 4507-4512
    • Jia, D.1    Krogh, B.2
  • 14
    • 84927728871 scopus 로고    scopus 로고
    • Decentralized model predictive control of constrained linear systems
    • A. Alessio, and A. Bemporad Decentralized model predictive control of constrained linear systems European Control Conference 2007 2813 2818
    • (2007) European Control Conference , pp. 2813-2818
    • Alessio, A.1    Bemporad, A.2
  • 15
    • 52449095243 scopus 로고    scopus 로고
    • Stability conditions for decentralized model predictive control under packet drop communication
    • A. Alessio, and A. Bemporad Stability conditions for decentralized model predictive control under packet drop communication American Control Conference 2008 3577 3582
    • (2008) American Control Conference , pp. 3577-3582
    • Alessio, A.1    Bemporad, A.2
  • 16
    • 13244299338 scopus 로고    scopus 로고
    • Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem
    • DOI 10.1016/j.ins.2004.03.008, PII S0020025504000726
    • S. Li, Y. Zhang, and Q. Zhu Nash-optimization enhanced distributed model predictive control applied to the shell benchmark problem Information Sciences 170 2-4 2005 329 349 (Pubitemid 40183412)
    • (2005) Information Sciences , vol.170 , Issue.2-4 , pp. 329-349
    • Li, S.1    Zhang, Y.2    Zhu, Q.3
  • 18
    • 62949156487 scopus 로고    scopus 로고
    • Application of the proximal center decomposition method to distributed model predictive control
    • I. Necoara, D. Doan, and J. Suykens Application of the proximal center decomposition method to distributed model predictive control IEEE Conference on Decision and Control 2008 2900 2905
    • (2008) IEEE Conference on Decision and Control , pp. 2900-2905
    • Necoara, I.1    Doan, D.2    Suykens, J.3
  • 19
    • 58249142419 scopus 로고    scopus 로고
    • Application of a smoothing technique to decomposition in convex optimization
    • I. Necoara, and J. Suykens Application of a smoothing technique to decomposition in convex optimization IEEE Transactions on Automatic Control 53 11 2008 2674 2679
    • (2008) IEEE Transactions on Automatic Control , vol.53 , Issue.11 , pp. 2674-2679
    • Necoara, I.1    Suykens, J.2
  • 20
    • 33846816531 scopus 로고    scopus 로고
    • Distributed model predictive control of an experimental four-tank system
    • DOI 10.1016/j.jprocont.2006.11.003, PII S0959152406001387
    • M. Mercangoz, and F.J. Doyle III Distributed model predictive control of an experimental four-tank system Journal of Process Control 17 3 2007 297 308 (Pubitemid 46205323)
    • (2007) Journal of Process Control , vol.17 , Issue.3 , pp. 297-308
    • Mercangoz, M.1    Doyle III, F.J.2
  • 22
    • 79955785494 scopus 로고    scopus 로고
    • Distributed predictive control for energy hub coordination in coupled electricity and gas networks
    • M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter Distributed predictive control for energy hub coordination in coupled electricity and gas networks R.R. Negenborn, Z. Lukszo, H. Hellendoorn, Intelligent Infrastructures 2010 Springer Dordrecht, The Netherlands 235 273
    • (2010) Intelligent Infrastructures , pp. 235-273
    • Arnold, M.1    Negenborn, R.R.2    Andersson, G.3    De Schutter, B.4
  • 24
    • 0023966802 scopus 로고
    • A parallel algorithm for a class of convex programs
    • S.-P. Han, and G. Lou A parallel algorithm for a class of convex programs SIAM Journal on Control and Optimization 26 2 1988 345 355
    • (1988) SIAM Journal on Control and Optimization , vol.26 , Issue.2 , pp. 345-355
    • Han, S.-P.1    Lou, G.2
  • 26
    • 0024011239 scopus 로고
    • Optimal infinite-horizon feedback control laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
    • S.S. Keerthi, and E.G. Gilbert Optimal infinite-horizon feedback control laws for a general class of constrained discrete-time systems: stability and moving-horizon approximations Journal of Optimization Theory and Applications 57 2 1988 265 293 (Pubitemid 18626351)
    • (1988) Journal of Optimization Theory and Applications , vol.57 , Issue.2 , pp. 265-293
    • Keerthi, S.S.1    Gilbert, E.G.2
  • 27
    • 0004267646 scopus 로고
    • Princeton University Press Princeton, NJ
    • R.T. Rockafellar Convex Analysis 1970 Princeton University Press Princeton, NJ
    • (1970) Convex Analysis
    • Rockafellar, R.T.1
  • 31
    • 70349668835 scopus 로고    scopus 로고
    • Approximate primal solutions and rate analysis for dual subgradient methods
    • A. Nedic, and A. Ozdaglar Approximate primal solutions and rate analysis for dual subgradient methods SIAM Journal on Optimization 19 4 2009 1757 1780
    • (2009) SIAM Journal on Optimization , vol.19 , Issue.4 , pp. 1757-1780
    • Nedic, A.1    Ozdaglar, A.2
  • 32
    • 65249121279 scopus 로고    scopus 로고
    • Primal-dual subgradient methods for convex problems
    • Y. Nesterov Primal-dual subgradient methods for convex problems Mathematical Programming 120 1 2009 221 259
    • (2009) Mathematical Programming , vol.120 , Issue.1 , pp. 221-259
    • Nesterov, Y.1
  • 33
    • 0038969576 scopus 로고    scopus 로고
    • A Lagrangean relaxation scheme for structured linear programs with application to multicommodity network flows
    • T. Larsson, and Z. Liu A Lagrangean relaxation scheme for structured linear programs with application to multicommodity network flows Optimization 40 1997 247 284
    • (1997) Optimization , vol.40 , pp. 247-284
    • Larsson, T.1    Liu, Z.2
  • 34
    • 0009734492 scopus 로고    scopus 로고
    • Recovery of primal solutions when using subgradient optimization methods to solve Lagrangian duals of linear programs
    • DOI 10.1016/0167-6377(96)00019-3, PII S0167637796000193
    • H. Sherali, and G. Choi Recovery of primal solutions when using subgradient optimization methods to solve Lagrangian duals of linear programs Operations Research Letters 19 3 1996 105 113 (Pubitemid 126395354)
    • (1996) Operations Research Letters , vol.19 , Issue.3 , pp. 105-113
    • Sherali, H.D.1    Choi, G.2


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