An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle

Expert Systems with Applications

Volumn 37, Issue 1, 2010, Pages 647-660

  Javadi Moghaddam, J ^a   Bagheri, A ^b  

^a Azad University of Damavand   (Iran)

^b UNIVERSITY OF GUILAN   (Iran)

Author keywords

Anfis; GA; On line; ROV; Sliding mode

Indexed keywords

ANFIS; GA; ON-LINE; ROV; SLIDING MODE;

CONTROL SYSTEM STABILITY; CONTROL THEORY; CONTROLLERS; GENETIC ALGORITHMS; GENETIC ENGINEERING; MANEUVERABILITY; REMOTE CONTROL; REMOTELY OPERATED VEHICLES; SLIDING MODE CONTROL; TRACKING (POSITION);

ADAPTIVE CONTROL SYSTEMS;

EID: 70349456499     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.015     Document Type: Article

References (24)

1. Akkizidisa I.S., Robertsa G.N., Ridaob P., and Batlleb J. Control Engineering Practice 11 (2003) 471-480
2. Antonelli G., and Chiaverini S. Control Engineering Practice 11 (2003) 445-452
3. Astrom K.J., and Wittenmark B. Adaptive control (1995), Addison-Wesley, New York
4. Bagheri A., and Moghaddam J.J. Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle. Neurocomputing 72 7-9 (2009) 1934-1950
5. Bagheri A., and Moghaddam J.J. Decoupled adaptive neuro-fuzzy (DANF) sliding mode control system for a Lorenz chaotic problem. Expert Systems with Applications 36 (2009) 6062-6068
6. DeBitetto P.A. Proceedings of AUV Symposium (1994) 233-241
7. Fossen T.I. Guidance and control of ocean vehicles (1994), John Wiley & Sons
8. Fossen, T. I., & Sagatun, S. (1991). In International conference of robotic & automation, California (pp. 1687-1694).
9. Guo J., Chiu F.C., and Huang C.C. Ocean Engineering (2002)
10. Healey A.J., and Lienard D. IEEE Journal of Oceanic Engineering 18 3 (1993) 327-339
11. Ishiii K., Fujii T., and Ura T. Proceedings of IEEE International Conference on Robotics and Automation (1998) 756-761
12. Juang Y.T., Chang Y.T., and Huang C.P. Design of fuzzy PID controllers using modified triangular membership functions. Information Sciences 178 (2008) 1325-1333
13. Kato, N., & Yuh, J. (Eds.). (1995). Underwater robotic vehicles: Design and control (pp. 145-183). Albuquerque, NM, USA: TSI Press.
14. Lin C.T., and Lee C.S.G. Neural fuzzy systems (1996), Prentice-Hall, Englewood Cliffs, NJ
15. Nakamura Y., and Savant S. IEEE International Conference on Robotics and Automation 3 (1992) A4-A9
16. Nie J., Yuh J., and Fossen T.I. International Journal of Adaptive Control Signal Process 14 (2000) 441-452
17. Shaw, I. S. (1998). Fuzzy control of industrial systems - Theory and applications. Dordrecht: Kluwer Academic Publishers.
18. Slotine J.J.E., and Li W. Applied nonlinear control (1991), Prentice-Hall, Englewood Cliffs, NJ
19. Wai R.J., and Tu C.H. Design of total sliding-mode-based genetic algorithm control for hybrid resonant-driven linear piezoelectric ceramic motor. IEEE Transactions on Power Electronics 22 2 (2007)
20. Wang, J. S., Lee, C. S. G., & Yuh, J. (2000). In Proceedings of IEEE international conference on robotics and automation, San Francisco, USA (pp. 3861-3866).
21. Yoerger D.N., and Slotine J.E. IEEE Journal of Oceanic Engineering 10 4 (1985) 462-470
22. Yuh J. IEEE Transactions on Systems Man and Cybernetics 20 (1990) 1475-1483
23. Yuh J. IEEE Transactions on Systems Man and Cybernetics 20 6 (1990) 1475-1483
24. Yuh J. IEEE Journal of Oceanic Engineering 15 3 (1990) 161-166