메뉴 건너뛰기




Volumn 42, Issue 6, 2006, Pages 1011-1016

Enlarging the terminal region of nonlinear model predictive control using the support vector machine method

Author keywords

Constraints; Nonlinear model predictive control; Stability; Support vector machine; Terminal conditions

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS; SYSTEM STABILITY;

EID: 33646124696     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2006.02.023     Document Type: Article
Times cited : (39)

References (15)
  • 2
    • 0142231054 scopus 로고    scopus 로고
    • Cannon, M., Kouvaritakis B., & Deshmukh V. (2003). Enlargement of polytopic terminal region in NMPC by interpolation and partial invariance. American control conference, pp. 4287-4292.
  • 3
    • 0032183270 scopus 로고    scopus 로고
    • A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
    • Chen H., and Allgöwer F. A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica 34 (1998) 1205-1217
    • (1998) Automatica , vol.34 , pp. 1205-1217
    • Chen, H.1    Allgöwer, F.2
  • 4
    • 0034842132 scopus 로고    scopus 로고
    • Chen, W. H., Balance D. J., & O'Reilly J. (2001). Optimisation of attraction domains of nonlinear MPC via LMI's methods. American control conference, pp. 3067-3072.
  • 6
    • 0035452329 scopus 로고    scopus 로고
    • A stablilizing model-based predictive control algorithm for nonlinear systems
    • Magni L., Nicolao G.D., Magnani L., and Scattolini R. A stablilizing model-based predictive control algorithm for nonlinear systems. Automatica 31 (2001) 1351-1362
    • (2001) Automatica , vol.31 , pp. 1351-1362
    • Magni, L.1    Nicolao, G.D.2    Magnani, L.3    Scattolini, R.4
  • 8
    • 0033876326 scopus 로고    scopus 로고
    • Constrainted model predictive control: Stability and optimality
    • Mayne D.Q., Rawlings J.B., Rao C.V., and Scokaert P.O.M. Constrainted model predictive control: Stability and optimality. Automatica 36 (2000) 789-814
    • (2000) Automatica , vol.36 , pp. 789-814
    • Mayne, D.Q.1    Rawlings, J.B.2    Rao, C.V.3    Scokaert, P.O.M.4
  • 9
    • 0027701879 scopus 로고
    • Robust receding horizon control of constrained nonlinear systems
    • Michalska H., and Mayne D.Q. Robust receding horizon control of constrained nonlinear systems. IEEE Transactions on Automatic Control 38 (1993) 1623-1633
    • (1993) IEEE Transactions on Automatic Control , vol.38 , pp. 1623-1633
    • Michalska, H.1    Mayne, D.Q.2
  • 10
    • 4444245471 scopus 로고    scopus 로고
    • Stability regions for constrainted nonlinear systems and their functional characterization via support-vector-machine learning
    • Ong C.J., Keerthi S.S., Gilbert E.G., and Zhang Z.H. Stability regions for constrainted nonlinear systems and their functional characterization via support-vector-machine learning. Automatica 40 (2004) 1955-1964
    • (2004) Automatica , vol.40 , pp. 1955-1964
    • Ong, C.J.1    Keerthi, S.S.2    Gilbert, E.G.3    Zhang, Z.H.4
  • 11
    • 0029394379 scopus 로고
    • A receding-horizon regulator for nonlinear systems and a neural approximation
    • Parisini T., and Zoppoli R. A receding-horizon regulator for nonlinear systems and a neural approximation. Automatica 31 (1995) 1443-1451
    • (1995) Automatica , vol.31 , pp. 1443-1451
    • Parisini, T.1    Zoppoli, R.2
  • 12
    • 0030290073 scopus 로고    scopus 로고
    • A stability theory for constrained dynamic systems with applications to electric power systems
    • Praprost K.L., and Loparo K.A. A stability theory for constrained dynamic systems with applications to electric power systems. IEEE transactions on Automatic Control 41 (1996) 1605-1617
    • (1996) IEEE transactions on Automatic Control , vol.41 , pp. 1605-1617
    • Praprost, K.L.1    Loparo, K.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.