Intelligent hybrid control system design for antilock braking systems using self-organizing function-link fuzzy cerebellar model articulation controller

IEEE Transactions on Fuzzy Systems

Volumn 21, Issue 6, 2013, Pages 1044-1055

  Lin, Chih Min ^a   Li, Hsin Yi ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Antilock braking system (ABS); Cerebellar model articulation controller (CMAC); Fuzzy inference system; Selforganizing.

Indexed keywords

ANTI-LOCK BRAKING SYSTEMS (ABS); CEREBELLAR MODEL ARTICULATION CONTROLLER; ESTIMATION UNCERTAINTIES; FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLERS; FUZZY INFERENCE SYSTEMS; INTELLIGENT HYBRID CONTROL SYSTEMS; SELF-ORGANIZING APPROACHES; SELFORGANIZING;

BRAIN; CONTROLLERS; FUZZY RULES; ROADS AND STREETS; SPEED CONTROL; WHEELS;

BRAKING;

EID: 84897704453     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2013.2241769     Document Type: Article

References (30)

1. H. Jing, Z. Liu, and H. Chen, "A switched control strategy for antilock braking system with on/off valves," IEEE Trans. Veh. Technol., vol. 60, no. 4, pp. 1470-1484, May 201-1.
2. C. M. Lin and C. F. Hsu, "Neural-network hybrid control for antilock braking systems," IEEE Trans. Neural Netw., vol. 14, no. 2, pp. 351-359, Mar. 200-3.
3. A. Poursamad, "Adaptive feedback linearization control of antilock braking systems using neural networks," Mechatronics, vol. 19, no. 5, pp. 763- 773, Aug. 200-9.
4. W. Y. Wang, I. H. Li, M. C. Chen, S. F. Su, and S. B. Hsu, "Dynamic slip-ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller," IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1746-1756, May 200-9.
5. A. B. Sharkawy, "Genetic fuzzy self-tuning PID controllers for antilock braking systems," Eng. Appl. Artif. Intell., vol. 23, no. 7, pp. 1041-1052, Oct. 201-0.
6. A. V. Topalov, Y. Oniz, E. Kayacan, and O. Kaynak, "Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm," Neurocomputing, vol. 74, no. 11, pp. 1883-1893, May 201-1.
7. D. Marr, "A theory of cerebellar cortex," J. Physiol., vol. 202, no. 2, pp. 437-470, Jun. 196-9.
8. J. S.Albus, "Anewapproach to manipulator control: The cerebellar model articulation controller (CMAC)," J. Dyn. Syst., Meas., Control, vol. 97, no. 3, pp. 220-227, Jun. 197-5.
9. S. H. Lane, D. A. Handelman, and J. J. Gelfand, "Theory and development of higher-order CMAC neural networks," IEEE Control Syst. Mag., vol. 12, no. 2, pp. 23-30, Apr. 199-2.
10. R. J. Wai and L. J. Chang, "Stabilizing and tracking control of nonlinear dual-axis inverted-pendulum system using fuzzy neural network," IEEE Trans. Fuzzy Syst., vol. 14, no. 1, pp. 145-168, Feb. 200-6.
11. F. J. Lin, P. H. Shieh, and P. H. Chou, "Robust adaptive backstepping motion control of linear ultrasonic motors using fuzzy neural network," IEEE Trans. Fuzzy Syst., vol. 17, no. 6, pp. 676-692, Jun. 200-8.
12. C. F. Juang and C. D. Hsieh, "A fuzzy system constructed by rule generation and iterative linear SVR for antecedent and consequent parameter optimization," IEEE Trans. Fuzzy Syst., vol. 20, no. 2, pp. 372-384, Apr. 201-2.
13. C. F. Juang, T. C. Chen, and W. Y. Cheng, "Speedup of implementing fuzzy neural networks with high-dimensional inputs through parallel processing on graphic processing units," IEEE Trans. Fuzzy Syst., vol. 19, no. 4, pp. 717-728, Aug. 201-1.
14. H. J. Song, C. Y. Miao, R. Wuyts, Z. Q. Shen, M. D'Hondt, and F. Catthoor, "An extension to fuzzy cognitive maps for classification and prediction," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 116-135, Feb. 201-1.
15. P. E. M. Almedia and M. G. Simoes, "Parametric CMAC networks fundamentals and applications of a fast convergence neural structure," IEEE Trans. Ind. Appl., vol. 39, no. 5, pp. 1551-1557, Oct. 200-3.
16. C. M. Lin and C. H. Chen, "Car-following control using recurrent cerebellar model articulation controller," IEEE Trans. Veh. Technol., vol. 56, no. 6, pp. 3660-3673, Nov. 200-7.
17. T. F.Wu, P. S. Tsai, F. R. Chang, and L. S.Wang, "Adaptive fuzzy CMAC control for a class of nonlinear systems with smooth compensation," IEE Proc. Control Theory Appl., vol. 153, no. 6, pp. 647-657, Nov. 200-6.
18. C. M. Lin, L. Y. Chen, and C. H. Chen, "RCMAC hybrid control for MIMO uncertain nonlinear systems using sliding-mode technology," IEEE Trans. Neural Netw., vol. 18, no. 3, pp. 708-720, May 200-7.
19. F. J. Lin and C. H. Lin, "A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller," IEEE Trans. Energy Convers., vol. 19, no. 1, pp. 66-72, Mar. 200-4.
20. S.Wu, M. J. Er, and Y. Gao, "A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks," IEEE Trans. Fuzzy Syst., vol. 9, no. 4, pp. 578-594, Aug. 200-1. (Pubitemid 32933044)
21. Y. Gao and M. J. Er, "Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems," IEEE Trans. Fuzzy Syst., vol. 11, no. 4, pp. 462-477, Aug. 200-3.
22. J. H. Park, S. H.Huh, S. H. Kim, S. J. Seo, andG. T. Park, "Direct adaptive controller for nonaffine nonlinear systems using self-structuring neural networks," IEEE Trans. Neural Netw., vol. 16, no. 2, pp. 414-422, Mar. 200-5.
23. J. J. E. Slotine and W. P. Li, Applied Nonlinear Control. Englewood Cliffs, NJ, USA: Prentice-Hall, 199-1.
24. J. C. Patra and R. N. Pal, "A functional link artificial neural network for adaptive channel equalization," Signal Process., vol. 43, no. 2, pp. 181- 195, May 199-5.
25. F. J. Lin, L. T. Teng, J. W. Lin, and S. Y. Chen, "Recurrent functional link based fuzzy neural network controlled induction generator system using improved particle swarm optimization," IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1557-1577, May 200-9.
26. C. M. Lin and T. Y. Chen, "Self-organizing CMAC control for a class of MIMO uncertain nonlinear systems," IEEE Trans. Neural Netw., vol. 20, no. 9, pp. 1377-1384, Sep. 200-9.
27. L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Englewood Cliffs, NJ, USA: Prentice-Hall, 199-4.
28. Y. F. Peng and C. M. Lin, "Intelligent motion control of linear ultrasonic motor with H tracking performance," IET Proc., Control Theory Appl., vol. 1, no. 1, pp. 9-17, 200-7.
29. J. H. Park, S. J. Seo, and G. T. Park, "Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors," Fuzzy Sets Syst., vol. 133, no. 1, pp. 19-36, Jan. 200-3.
30. N. Kim and A. J. Calise, "Several extensions in methods for adaptive output feedback control," IEEE Trans. Neural Netw., vol. 18, no. 2, pp. 482- 494, Mar. 200-7. (Pubitemid 46522570)