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Volumn 36, Issue 3, 2010, Pages 459-464

Inverse control of cable-driven parallel mechanism using type-2 fuzzy neural network

Author keywords

Inverse control; Neural network; Parallel mechanism; Type 2 fuzzy logic

Indexed keywords

CABLE-DRIVEN PARALLEL MECHANISMS; CONTROL SCHEMES; INTERVAL WEIGHTS; INVERSE CONTROL; INVERSE DYNAMICS; ITERATIVE LEAST SQUARES; PARALLEL MECHANISMS; SOURCES OF UNCERTAINTY; TYPE-2 FUZZY LOGIC;

EID: 77951908415     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2010.00459     Document Type: Article
Times cited : (55)

References (22)
  • 1
    • 0029533642 scopus 로고
    • Real-time direct kinematics of general six-degree of freedom parallel manipulators with minimum-sensor data
    • Etemadi-Zanganeh K, Angeles J. Real-time direct kinematics of general six-degree of freedom parallel manipulators with minimum-sensor data. Journal of Robotic Systems, 1995, 12(12): 833-844.
    • (1995) Journal of Robotic Systems , vol.12 , Issue.12 , pp. 833-844
    • Etemadi-Zanganeh, K.1    Angeles, J.2
  • 5
    • 0034069272 scopus 로고    scopus 로고
    • Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor
    • Hussain M A, Kershenbaum L S. Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor. Chemical Engineering Research and Design, 2000, 78(2): 299-311.
    • (2000) Chemical Engineering Research and Design , vol.78 , Issue.2 , pp. 299-311
    • Hussain, M.A.1    Kershenbaum, L.S.2
  • 11
    • 0034295771 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic systems: Theory and design
    • Liang Q L, Mendel J M. Interval type-2 fuzzy logic systems: theory and design. IEEE Transactions on Fuzzy Systems, 2000, 8(5): 535-550.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 535-550
    • Liang, Q.L.1    Mendel, J.M.2
  • 12
    • 33750023711 scopus 로고    scopus 로고
    • Advances in type-2 fuzzy sets and systems
    • Mendel J M. Advances in type-2 fuzzy sets and systems. Information Sciences, 2007, 177(1): 84-110.
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 84-110
    • Mendel, J.M.1
  • 13
    • 1542273540 scopus 로고    scopus 로고
    • Computing derivatives in interval type-2 fuzzy logic systems
    • Mendel J M. Computing derivatives in interval type-2 fuzzy logic systems. IEEE Transactions on Fuzzy Systems, 2004, 12(1): 84-98.
    • (2004) IEEE Transactions on Fuzzy Systems , vol.12 , Issue.1 , pp. 84-98
    • Mendel, J.M.1
  • 14
    • 4344620181 scopus 로고    scopus 로고
    • A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
    • Hagras H A. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots. IEEE Transactions on Fuzzy Systems, 2004, 12(4): 524-539.
    • (2004) IEEE Transactions on Fuzzy Systems , vol.12 , Issue.4 , pp. 524-539
    • Hagras, H.A.1
  • 16
    • 33846230084 scopus 로고    scopus 로고
    • An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory
    • Melin P, Castillo O. An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory. Information Sciences, 2007, 177(7): 1543-1557.
    • (2007) Information Sciences , vol.177 , Issue.7 , pp. 1543-1557
    • Melin, P.1    Castillo, O.2
  • 17
    • 19144369004 scopus 로고    scopus 로고
    • An adaptive type-2 fuzzy neural controller for nonlinear uncertain systems
    • Lee C H, Lin Y C. An adaptive type-2 fuzzy neural controller for nonlinear uncertain systems. Control and Intelligent Systems, 2005, 33(1): 13-25.
    • (2005) Control and Intelligent Systems , vol.33 , Issue.1 , pp. 13-25
    • Lee, C.H.1    Lin, Y.C.2
  • 19
    • 33749379258 scopus 로고    scopus 로고
    • Comments on "dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)"
    • Hagras H. Comments on "dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)". IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2006, 36(5): 1206-1209.
    • (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.36 , Issue.5 , pp. 1206-1209
    • Hagras, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.