Open Access
MATEC Web of Conferences
Volume 42, 2016
2015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
Article Number 04002
Number of page(s) 5
Section Machinery manufacturing and industrial applications
Published online 17 February 2016
  1. A. Saptoro, State of the Art in the Development of Adaptive Soft Sensors based on Just-In-Time Models, Procedia Chemistry, Vol. 9, pp. 226–234 (2014). [Google Scholar]
  2. M. Shakil, M. Elshafei, M. A. Habib and F. A. Maleki, Soft sonsor for NOX and O2 using dynamic neural networks, Computers and Electrical Engineering, Vol. 35, pp. 578–586 (2009). [Google Scholar]
  3. J. C. Spall, A STOCHASTIC APPROXIMATION TECHNIQUE FOR GENERATING MAXIMUM LIKELIHOOD PARAMETER ESTIMATTES, Proceedings of the American Control Conference, Minneapolis, MN, pp. 1161–1167 (1987). [Google Scholar]
  4. S. Ishizuka and I. Kajiwara, Online adaptive PID control for MIMO systems using simultaneous perturbation stochastic approximation, JSME Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 9, No. 2 (2015). [Google Scholar]
  5. S. Ishizuka, I. Kajiwara, J. Sato, Y. Hanamura and S. Hanawa, Model-free adaptive control scheme for EGR/VNT control of a diesel engine using the simultaneous perturbation stochastic approximation, SAGE Transactions of the Institute of Measurement and Control, Online fist published on Sept. 4 (2015), [Google Scholar]
  6. J. C. Spall, A One-measurement Form of Simultaneous Perturbation Stochastic Approximation, Automatica, Vol. 33, No. 1, pp. 109–112 (1997). [CrossRef] [Google Scholar]

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