Data-driven cooperative intelligent controller based on the endocrine regulation mechanism

IEEE Transactions on Control Systems Technology

Volumn 22, Issue 1, 2014, Pages 94-101

  Liang, Xiao ^a   Ding, Yongsheng ^a   Ren, Lihong ^a   Hao, Kuangrong ^a   Jin, Yanling ^a  

^a DONGHUA UNIVERSITY   (China)

Author keywords

Bio inspired control; Data driven; endocrine regulation; Intelligent cooperative control; Simultaneous perturbation stochastic approximation (SPSA)

Indexed keywords

CO-OPERATIVE CONTROL; DATA-DRIVEN; ENDOCRINE REGULATION; EXTERNAL DISTURBANCES; INDUSTRIAL CONTROLLERS; INTELLIGENT CONTROLLERS; REGULATION MECHANISMS; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION;

DATA HANDLING; INTELLIGENT CONTROL;

CONTROLLERS;

EID: 84891556522     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2013.2245417     Document Type: Article

References (26)

1. J. Q. Han, "From PID to active disturbance rejection control," IEEE Trans. Ind. Electron., vol. 56, no. 3, pp. 900-906, Mar. 2009.
2. D. Rupp, and L. Guzzella, "Iterative tuning of internal model controllers with application to air/fuel ratio control," IEEE Trans. Control Syst. Technol., vol. 18, no. 1, pp. 177-184, Jan. 2010.
3. A. Montazeri, J. Poshtan, and A. Yousefi-Koma, "Design and analysis of robust minmax LQG controller for an experimental beam considering spill-over effect," IEEE Trans. Control Syst. Technol., vol. 19, no. 5, pp. 1251-1259, Sep. 2011.
4. J. Hu, Z.-D. Wang, H.-J. Gao, and L. K. Stergioulas, "Robust sliding mode control for discrete stochastic systems with mixed time delays, randomly occurring uncertainties, and randomly occurring nonlinearities," IEEE Trans. Ind. Electron., vol. 59, no. 7, pp. 3008-3015, Jul.2012.
5. D. Xu, and J. Huang, "Robust adaptive control of a class of nonlinear systems and its applications," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 57, no. 3, pp. 691-702, Mar. 2010.
6. M. Han, J.-C. Fan, and J. Wang, "A dynamic feedforward neural network based on Gaussian particle swarm optimization and it application for predictive control," IEEE Trans. Neural Netw., vol. 22, no. 9, pp. 1457-1468, Sep. 2011.
7. Z.-D. Wang, B. Shen, H.-S. Shu, and G.-L. Wei, "Quantized Hinfinity control for nonlinear stochastic time-delay systems with missing measurements," IEEE Trans. Autom. Control, vol. 57, no. 6, pp. 1431-1444, Jun. 2012.
8. J. Darlinton, C. C. Pantelides, B. Rustem, and B. A. Tanyi, "An algorithm for constrained nonlinear optimization under uncertainty," Automatica, vol. 35, no. 2, pp. 217-228, 1999.
9. Z.-S. Hou, and J.-X. Xu, "On data-driven control theory: The state of the art and perspective," Acta Autom. Sinca, vol. 35, no. 6, pp. 650-667, Jun. 2009.
10. T. Yamamoto, K. Takao, and T. Yamada, "Design of a data-driven PID controller," IEEE Trans. Control Syst. Technol., vol. 17, no. 1, pp. 29-39, Jan. 2009.
11. Z.-S. Hou, and S.-T. Jin, "A novel data-driven control approach for a class of discrete-time nonlinear systems," IEEE Trans. Control Syst. Technol., vol. 19, no. 6, pp. 1549-1558, Nov. 2011.
12. C.-J. Chien and C.-Y. Yao, "Iterative learning of model reference adaptive controller for uncertain nonlinear systems with only output measurement," Automatica, vol. 40, no. 5, pp. 855-864, May 2004.
13. J.-M. Lee and J.-H. Lee, "Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes," Automatica, vol. 41, no. 7, pp. 1281-1288, Jul. 2005.
14. R. J. Povinelli, J. F. Bangura, N. A. O. Demerdash, and R.H. Brown, "Diagnostics of bar and end-ring connector breakage faults in polyphas induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling," IEEE Trans. Energy Convers., vol. 17, no. 1, pp. 39-46, Jan. 2002. (Pubitemid 34404508)
15. Y.-Q. Wang, D.-H. Zhou, and F.-R. Gao, "Iterative learning model predictive control for multi-phase batch processes," J. Proc. Control, vol. 18, no. 6, pp. 543-557, Jun. 2008.
16. S. Ge, Z.-J. Li, and H.-Y. Yang, "Data driven adaptive predictive control for holonomic constrained under-actuator biped robots," IEEE Trans. Control Syst. Technol., vol. 20, no. 3, pp. 787-795, May 2012.
17. R.-T. Yang, T.-J. Tarn, and M.-J. Zhang, "Data-driven feedforward control for electroporation mediated gene delivery in gene therapy," IEEE Trans. Control Syst. Technol., vol. 18, no. 4, pp. 935-943, Jul. 2010.
18. W. Erlhagen, A. Mukovskiy, E. Bicho, G. Panin, C. Kiss, A. Knollc, H. van Schie, and H. Bekkering, "Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning," Robot. Auto. Syst., vol. 54, no. 5, pp. 353-360, May. 2006.
19. M. Wu, J. Yan, J.-H. She, and W.-H. Cao, "Intelligent decoupling control of gas collection process of multiple asymmetric coke ovens," IEEE Trans. Ind. Electron., vol. 56, no. 7, pp. 2782-2792, Jul. 2009.
20. C.-L. Lin, S.-L. Hsiao, and C.-K. Chen, "Balance of emulated MDOF human postural systems," Int. J. Eng. Sci., vol. 48, no. 9, pp. 751-770, Sep. 2010.
21. Y.-S. Ding, B. Liu, and L.-H. Ren, "Intelligent decoupling control system inspired from modulation of the growth hormone in neuroendocrine system," Dynamics Continuous, Discrete Impuls. Syst., Ser. B: Appl. Algorithms, vol. 14, no. 5, pp. 679-693, 2007.
22. Y.-S. Ding and B. Liu, "An intelligent bi-cooperative decoupling control approach based on modulation mechanism of internal environment in body," IEEE Trans. Control Syst. Technol., vol. 19, no. 3, pp. 692-698, Mar. 2011.
23. J. C. Spall, "Multivariate stochastic approximation using a simultaneous perturbation gradient approximation," IEEE Trans. Autom. Control, vol. 37, no. 3, pp. 332-341, Mar. 1992.
24. J. C. Spall and J. A. Christion, "A model-free control of nonlinear stochastic systems with discrete-time measurements," IEEE Trans. Autom Control, vol. 43, no. 9, pp. 1198-1210, Sep. 1998. (Pubitemid 128736510)
25. L. S. Farhy, "Modeling of oscillations of endocrine networks with feedback," Methods Enzymology, vol. 384, pp. 54-81, 2004. (Pubitemid 38420474)
26. S.-L. Ren, Y.-N. Lai, Y.-Z. Wang, and H. Lu, "A new fiber winding precision tension control system," in Proc. IEEE Int. Conf. Autom., Logistics, Shenyang, China, Aug, 2009, pp. 233-236.