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Volumn 2005, Issue , 2005, Pages 7756-7761

State estimation for repetitive processes using iteratively improving moving horizon observers

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; ITERATIVE METHODS; NONLINEAR SYSTEMS; PROBLEM SOLVING;

EID: 33847182474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1583415     Document Type: Conference Paper
Times cited : (6)

References (14)
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  • 2
    • 33847240811 scopus 로고    scopus 로고
    • State estimation for repetitive processes using iteratively improving moving horizon observers
    • Technical Report IST-2005-3, Institute for Systems Theory in Engineering, University of Stuttgart, Germany
    • I. Alvarado, R. Findeisen, P. Kühl, D. Limón, and F. Allgöwer. State estimation for repetitive processes using iteratively improving moving horizon observers. Technical Report IST-2005-3, Institute for Systems Theory in Engineering, University of Stuttgart, Germany, 2005.
    • (2005)
    • Alvarado, I.1    Findeisen, R.2    Kühl, P.3    Limón, D.4    Allgöwer, F.5
  • 4
    • 0035600660 scopus 로고    scopus 로고
    • A computationally efficient feasible sequential quadratic programming algorithm
    • C.T. Lawrence and A.L. Tits. A computationally efficient feasible sequential quadratic programming algorithm. SIAM J. Optim., 11(4): 1092-1118, 2001.
    • (2001) SIAM J. Optim , vol.11 , Issue.4 , pp. 1092-1118
    • Lawrence, C.T.1    Tits, A.L.2
  • 5
    • 0034632150 scopus 로고    scopus 로고
    • Iterative learning control and repetitive control for engineering practice
    • R. Longman. Iterative learning control and repetitive control for engineering practice. Int. J. Contr., 73(10):930-954, 2000.
    • (2000) Int. J. Contr , vol.73 , Issue.10 , pp. 930-954
    • Longman, R.1
  • 6
    • 0029326236 scopus 로고
    • Moving horizon observers and observer-based control
    • H. Michalska and D.Q. Mayne. Moving horizon observers and observer-based control. IEEE Trans. Aut. Control, 40(6):995-1006, 1995.
    • (1995) IEEE Trans. Aut. Control , vol.40 , Issue.6 , pp. 995-1006
    • Michalska, H.1    Mayne, D.Q.2
  • 7
    • 0003275089 scopus 로고
    • Iterative Learning Control for Deterministic Systems
    • Springer, London
    • K. Moore. Iterative Learning Control for Deterministic Systems. Advances in Industrial Control. Springer, London, 1993.
    • (1993) Advances in Industrial Control
    • Moore, K.1
  • 8
    • 0034632145 scopus 로고    scopus 로고
    • Special issue on iterative learning control
    • K. Moore and J.-X. Xu. Special issue on iterative learning control. Int. J. Contr., 73(10), 2000.
    • (2000) Int. J. Contr , vol.73 , Issue.10
    • Moore, K.1    Xu, J.-X.2
  • 9
    • 0002177291 scopus 로고    scopus 로고
    • Nonlinear horizon state estimation
    • F. Allgöwer and A. Zheng, editors, Birkhäuser
    • C.V. Rao and J.B. Rawlings. Nonlinear horizon state estimation. In F. Allgöwer and A. Zheng, editors, Nonlinear Predictive Control. pages 45-70. Birkhäuser, 2000.
    • (2000) Nonlinear Predictive Control , pp. 45-70
    • Rao, C.V.1    Rawlings, J.B.2
  • 10
    • 0037291591 scopus 로고    scopus 로고
    • Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations
    • C.V. Rao, J.B. Rawlings, and D.Q. Mayne. Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations. IEEE Trans. Automatic Control, pages 246-258, 2003.
    • (2003) IEEE Trans. Automatic Control , pp. 246-258
    • Rao, C.V.1    Rawlings, J.B.2    Mayne, D.Q.3
  • 11
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    • A least squares formulation for state estimation
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    • Robertson, D.G.1    Lee, J.H.2
  • 12
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    • Suboptimal model predictive control (feasibility implies stability)
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  • 13
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    • Tayebi, A.1    Xu, J.2
  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.