Novel observer/controller identification method-based minimal realisations in block observable/controllable canonical forms and compensation improvement

References

• Astrom, K.J., & Wittenmark, B. (1980). Self-tuning controllers based on pole-zero placement. IEE Proceedings D-Control Theory and Applications, 127(3), 120–130.
   Google Scholar
• Chen, Y.M., & Wu, Y.C. (1992). Modified recursive least-squares algorithm for parameter identification. International Journal of Systems Science, 23(2), 187–205.
   Web of Science ®Google Scholar
• Doraiswami, R., Jiang, J., & Balasubramanian, R. (1986). On-line frequency-and-time-domain identification of a linear multivariable system. International Journal of Systems Science, 17(9), 1349–1371.
   Web of Science ®Google Scholar
• Gevers, M., Bazanella, A.S., Bombois, X., & Miskovic, L. (2009). Identification and the information matrix: How to get just sufficiently rich. IEEE Transactions on Automatic Control, 54(12), 2828–2840.
   Web of Science ®Google Scholar
• Gevers, M., Bombois, X., Scorletti, G., Van den Hof, P., & Hildebrand, R. (2006). Experiment design for robust control: Why do more work than is needed?’ In B. Francis & J.C. Willems (Eds.), Control of uncertain systems: Modelling, approximation and design. Lecture notes in control and information sciences (Vol. 329, pp. 139–162) ( Chapter 4). New York, NY: Springer Verlag.
   Google Scholar
• Houtzager, H. (2011). Towards data-driven control for modern wide turbines (Ph.D. Thesis). Delft University of Technology, Delft.
   Google Scholar
• Juang, J.-N., Horta, L.G., & Phan, M. (1992). User's guide for system/observer/controller identification toolbox: NASA technical memorandum 107566. Hampton, VA: NASA.
   Google Scholar
• Juang, J.N. (1994). Applied system identification. London: Prentice Hall.
   Google Scholar
• Lee, Y.Y., Tsai, J.S.H., Shieh, L.S., & Chen, G. (2005). Equivalent linear observer-based tracker for stochastic chaotic system with delays and disturbances. IMA Journal of Mathematical Control and Information, 22(3), 266–284.
   Web of Science ®Google Scholar
• Phan, M., Horta, L.G., Juang, J.-N., & Longman, R.W. (1995). Improvement of observer/Kalman filter identification (OKID) by residual whitening. Transactions of the ASME, 117, 232–239.
   Google Scholar
• Phan, M., Juang, J.-N., Horta, L.G., & Longman, R.W. (1994). System identification from closed-loop data with known output feedback dynamics. Journal of Guidance, Control and Dynamics, 17(4), 661–669.
   Web of Science ®Google Scholar
• Ray, G., & Rama Rao, P. (1990). On-line identification and control of multivariable discrete-time systems based on a transformed model. International Journal of Systems Science, 21(1), 175–191.
   Web of Science ®Google Scholar
• Sagara, S., Yang, Z.J., & Wada, K. (1991). Identification of continuous-time systems using digital low-pass filters. International Journal of Systems Science, 22(7), 1157–1176.
   Web of Science ®Google Scholar
• Shieh, L.S., Bao, Y.L., & Chang, F.R. (1989). State-space self-tuning regulators for general multivariable stochastic systems. IEE Proceedings D (Control Theory and Applications), 136(1), 17–27.
   Google Scholar
• Tsay, Y.T., & Shieh, L.S. (1981). State-space approach for self-tuning feedback control with pole assignment. IEE Proceedings D (Control Theory and Applications), 128(3), 93–101.
   Google Scholar
• Wu, C.Y., Tsai, J.S.H., Guo, S.M., Shieh, L.S., Canelon, J.I., Ebrahimzadeh, F., & Wang, L. (2015). A novel on-line observer/Kalman filter identification method and its application to input-constrained active fault-tolerant tracker design for unknown stochastic systems. Journal of the Franklin Institute, 352(3), 1119–1151.
   Web of Science ®Google Scholar
• Wu, W.T., Tseng, C.G., & Chu, Y.T. (1994). System identification and on-line robust control of a multivariable system. International Journal of Systems Science, 25(3), 423–439.
   Web of Science ®Google Scholar
• Zheng, W.X. (2006). Least squares parameter estimation of linear systems with noisy input-output data. International Journal of Systems Science, 37(7), 447–453.
   Web of Science ®Google Scholar