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State-shared model for multiple-input multiple-output systems

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Abstract

This work proposes a method to construct a state-shared model for multiple-input multiple-output (MIMO) systems. A state-shared model is defined as a linear time invariant state-space structure that is driven by measurement signals-the plant outputs and the manipulated variables, but shared by different multiple input/output models. The genesis of the state-shared model is based on a particular reduced non-minimal realization. Any such realization necessarily fulfills the requirement that the output of the state-shared model is an asymptotically correct estimate of the output of the plant, if the process model is selected appropriately. The approach is demonstrated on a nonlinear MIMO system — a physiological model of calcium fluxes that controls muscle contraction and relaxation in human cardiac myocytes.

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References

  1. M. Mathelin, M. Bodson. Frequency domain conditions for parameter convergence in multivariable recursive identification [J]. Automatica, 1990,26(4):757–767.

    Article  MATH  MathSciNet  Google Scholar 

  2. T. Kailath. Linear Systems [M]. Englewood Cliffs, NJ: Prentice-Hall, 1980.

    Google Scholar 

  3. K. S. Narendra, A. M. Annaswamy. Stable Adaptive Systems [M]. Englewood Cliffs, NJ: Prentice-Hall, 1989.

    Google Scholar 

  4. Z. Tian, K. A. Hoo. Transition control using a state-shared model approach. Compt. and Chem. Engng.. 2003,27(11):1641–1656.

    Article  Google Scholar 

  5. P. J. Antsaklis, A. N. Michel. Linear System [M]. New York, NY: McGraw-Hill, 1997.

    Google Scholar 

  6. N. Mahadevan, K. A. Hoo. Wavelet-based model reduction of distributed parameter systems [J]. Chemical Engineering Science, 2000,55:4271–4290.

    Article  Google Scholar 

  7. D. Zheng, K. A. Hoo. Low-order model identification of distributed parameter systems by a combination of singular value decomposition and the karhunen-loève expansion [J]. Compt. and Chem. Engng., 2002,26(7–8):1049–1076.

    Article  Google Scholar 

  8. J.B. Burl. Linear Optimal Control, H 2 and H Methods [M]. Menlo Park, CA: Addison Wesley, 1999.

    Google Scholar 

  9. K. Glover. All optimal Hankel-norm approximations of linear multivariable systems and their L-error bounds [J]. Int. J. Control, 1984,39(6):1115–1193.

    Article  MATH  MathSciNet  Google Scholar 

  10. B. C. Moore. Principle component analysis in linear systems: Controllability, observability, and model reduction [J]. IEEE Trans, on Automatic Control, 1981,26:17–31.

    Article  MATH  Google Scholar 

  11. R. A. Ioannou, J. Sun. Robust Adaptive Control [M]. Upper Saddle River, NJ: Prentice Hall, 1995.

    Google Scholar 

  12. A. M. Katz. Physiology of the Heart [M]. 3rd ed. Lippincott, Williams, and Wilkins, 2001.

  13. A. Fabiato. Two kinds of calcium-induced release of calcium from the sarcoplasmic reticulum of skinned cardiac cells [M] // G. B. B. Frank, P. Bianchi, and H. Keurs. Excitation-Contraction Coupling in Skeletal, Cardiac, and Smooth Muscle. New York, NY: Plenum Press, 1992:245–263.

    Google Scholar 

  14. S. Gyorke, M. Fill. Ryanodine receptor adaptation: Control mechanism of Ca2+-induced Ca2+ release in heart [J]. Science, 1993,260:807–809.

    Article  Google Scholar 

  15. Y. Tang, H. G. Othmer. A model of calcium dynamics in cardiac myocytes based on the kinetics of ryanodine-sensitive calcium channels [J]. Biophysical J., 1994,67:2223–2235.

    Article  Google Scholar 

  16. Z. Tian, K. A. Hoo. Transition control using multiple adaptive models and an H-infinity controller design [C] // Proc. 2002 American Control Conf.. Anchorage, AK, 2002:2621–2626.

Download references

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This work was supported by the National Science Foundation of China (No. CTS-9703252).

Zhenhua TIAN was born in China. He received the B. S. degree in applied mathematics and the M. S. degree in chemical engineering from Beijing University of Chemical Technology in 1991 and 1994, respectively. He received the Ph. D. degree in chemical engineering from Texas Tech University in 2003. From July 2003, Dr. Tian served as the Research Engineer in Abengoa Bioenergy Corporation. Dr. Tian has interests in linear system theory, model predictive transition control, nonlinear system modeling and plant-wide optimization. Dr Tian is a member of AIChE.

Karlene A Hoo received her B. S. degrees in chemical engineering from the University of Pennsylvania and her M.S. and Ph. D. in chemical engineering from the University of Notre Dame. She is a full Professor of Chemical Engineering and Associate Dean of Research in the College of Engineering at Texas Tech University. Dr. Hoo’s research interests are in nonlinear and linear control, system identification and model reduction, automated control and plant-wide optimization, and systems biology. She is an Associate Editor of IEEE Control Systems Magazine and Instrumentation, Systems and Automation Transactions. E-mail: Karlene.Hoo@ttu.edu.

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Tian, Z., Hoo, K.A. State-shared model for multiple-input multiple-output systems. J. Control Theory Appl. 3, 348–356 (2005). https://doi.org/10.1007/s11768-005-0023-4

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  • DOI: https://doi.org/10.1007/s11768-005-0023-4

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