메뉴 건너뛰기




Volumn 46, Issue 2, 2007, Pages 472-480

Lazy learning-based online identification and adaptive PID control: A case study for CSTR process

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; ONLINE SYSTEMS; THREE TERM CONTROL SYSTEMS;

EID: 33847110311     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0608713     Document Type: Article
Times cited : (42)

References (18)
  • 1
    • 0037380037 scopus 로고    scopus 로고
    • Control of a solution copolymerization reactor using multi-model predictive control
    • Özkan, L.; Kothare, M. V.; Georgakis, C. Control of a solution copolymerization reactor using multi-model predictive control. Chem. Eng. Sci. 2003, 58 (7), 1207-1221.
    • (2003) Chem. Eng. Sci , vol.58 , Issue.7 , pp. 1207-1221
    • Özkan, L.1    Kothare, M.V.2    Georgakis, C.3
  • 2
    • 0026191814 scopus 로고
    • Nonlinear control of chemical processes: A review
    • Bequette, B. W. Nonlinear control of chemical processes: A review. Ind. Eng. Chem. Res. 1991, 30(7), 1391-1413.
    • (1991) Ind. Eng. Chem. Res , vol.30 , Issue.7 , pp. 1391-1413
    • Bequette, B.W.1
  • 5
    • 0142214693 scopus 로고    scopus 로고
    • Tuning proportional-integral-derivative controllers using achievable performance indices
    • Agrawal, P.; Lakshminarayanan, S. Tuning proportional-integral-derivative controllers using achievable performance indices. Ind. Eng. Chem. Res. 2003, 42 (22), 5576-5582.
    • (2003) Ind. Eng. Chem. Res , vol.42 , Issue.22 , pp. 5576-5582
    • Agrawal, P.1    Lakshminarayanan, S.2
  • 6
    • 18144427544 scopus 로고    scopus 로고
    • Practical receding-horizon optimization control of the Air Handling Unit in HVAC systems
    • Xu, M.; Li, S.; Cai, W. Practical receding-horizon optimization control of the Air Handling Unit in HVAC systems. Ind. Eng. Chem. Res. 2005, 44 (22), 2848-2855.
    • (2005) Ind. Eng. Chem. Res , vol.44 , Issue.22 , pp. 2848-2855
    • Xu, M.1    Li, S.2    Cai, W.3
  • 7
    • 0242695689 scopus 로고    scopus 로고
    • Applying neural networks to online updated PID controller for nonlinear process control
    • Chen, J.; Huang, T. Applying neural networks to online updated PID controller for nonlinear process control. J. Process Control 2004, 14 (2), 211-230.
    • (2004) J. Process Control , vol.14 , Issue.2 , pp. 211-230
    • Chen, J.1    Huang, T.2
  • 9
    • 0035452681 scopus 로고    scopus 로고
    • Predictive fuzzy PID control: Theory, design and simulation
    • Lu, J. L.; Chen, G. R.; Ying, H. Predictive fuzzy PID control: Theory, design and simulation. Inf. Sci. 2001, 137 (1), 157-187.
    • (2001) Inf. Sci , vol.137 , Issue.1 , pp. 157-187
    • Lu, J.L.1    Chen, G.R.2    Ying, H.3
  • 11
  • 12
    • 0035895091 scopus 로고    scopus 로고
    • A 'Model-on-Demand' Identification Methodology for Non-linear Process Systems
    • Braun, M. W.; Rivera, D. E.; Stenman, A. A 'Model-on-Demand' Identification Methodology for Non-linear Process Systems. Int. J. Control 2001, 71 (18), 1708-1717.
    • (2001) Int. J. Control , vol.71 , Issue.18 , pp. 1708-1717
    • Braun, M.W.1    Rivera, D.E.2    Stenman, A.3
  • 13
    • 0032625723 scopus 로고    scopus 로고
    • Lazy learning for local modelling and control design
    • Bontempi, G.; Birattari, M.; Bersini, H. Lazy learning for local modelling and control design. Int. J. Control 1999, 72 (7-8), 643-658.
    • (1999) Int. J. Control , vol.72 , Issue.7-8 , pp. 643-658
    • Bontempi, G.1    Birattari, M.2    Bersini, H.3
  • 14
    • 0004035995 scopus 로고    scopus 로고
    • Local Learning Techniques for Modeling, Prediction and Control. Ph.D
    • Thesis, IRIDLA-Universit'e Libre de Bruxelles, Brussels
    • Bontempi, G. Local Learning Techniques for Modeling, Prediction and Control. Ph.D. Thesis, IRIDLA-Universit'e Libre de Bruxelles, Brussels, 1999.
    • (1999)
    • Bontempi, G.1
  • 15
    • 33847118464 scopus 로고    scopus 로고
    • From linearization to lazy learning: A survey of Divide-and-Conquer techniques for nonlinear control
    • Bontempi, G.; Birattari, M. From linearization to lazy learning: a survey of Divide-and-Conquer techniques for nonlinear control. Int. J. Computational Cognition 2005, 3(1), 26-72.
    • (2005) Int. J. Computational Cognition , vol.3 , Issue.1 , pp. 26-72
    • Bontempi, G.1    Birattari, M.2
  • 16
    • 0034251606 scopus 로고    scopus 로고
    • Supervision of adaptive control algorithm
    • Hägglund, T.; Astrom, K. J. Supervision of adaptive control algorithm. Automatica 2000, 36 (8), 1171-1180.
    • (2000) Automatica , vol.36 , Issue.8 , pp. 1171-1180
    • Hägglund, T.1    Astrom, K.J.2
  • 17
    • 33847316763 scopus 로고    scopus 로고
    • Li, S. Advanced Algorithm Simulated Platform, version 1.0; Shanghai Jiao Tong University: Shanghai, People's Republic of China, 2006 software copyright: 2006SR01748
    • Li, S. Advanced Algorithm Simulated Platform, version 1.0; Shanghai Jiao Tong University: Shanghai, People's Republic of China, 2006 (software copyright: 2006SR01748).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.