Iterative LQG controller design through closed-loop identification

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 118, Issue 2, 1996, Pages 366-372

  Hsiao, Min Hung ^a   Huang, Jen Kuang ^b   Cox, David E ^c  

^a Taipei Institute of Technology   (Taiwan)

^b Old Dominion University   (United States)

^c NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0345361538     PISSN: 00220434     EISSN: 15289028     Source Type: Journal    
DOI: 10.1115/1.2802331     Document Type: Article

References (14)

1. Chen, C. T., 1984, Linear System Theory and Design, Second Edition, Chapter 6, CBS College Publishing, New York.
2. Chen, C.-W., Huang, J.-K., Phan, M., and Juang, J.-N., 1992a, “Integrated System Identification and Modal State Estimation for Control of Flexible Space Structures,” AIAA J. Guidance, Control and Dynamics, Vol. 15, No. 1, pp. 88-95.
3. Chen, C.-W., Huang, J.-K., and Juang, J.-N., 1992b, “Identification of Linear Stochastic Systems Through Projection Filters,” Proc. AIAA Structures, Structural Dynamics and Materials Conf., pp. 2330-2340, also to appear in AIAA J. Guidance, Control and Dynamics.
4. Chen, C.-W., Juang, J.-N., and Huang, J.-K., 1993, “Adaptive Linear System Identification and State Estimation,” Control and Dynamic Systems: Advances in Theory and Applications, Vol. 57, Multidisciplinary Engineering Systems: Design and Optimization Techniques and Their Application, C. T. Leondes, ed., Academic Press, pp. 331-368.
5. Chen, C.-W., and Huang, J.-K., 1994, “Estimation of Steady-State Optimal Filter Gain from Non-Optimal Kalman Filter Residuals,” ASME Journal of Dynamic Syst., Meas., and Contr., Vol. 116, No. 3, pp. 550-553.
6. Goodwin, G. C., and Sin, K. S., 1984, Adaptive Filtering, Prediction and Control, Prentice-Hall, Englewood Cliffs, NJ 07632.
7. Groom, N. J., and Britcher, C. P., 1992, “Open-Loop Characteristics of Magnetic Suspension Systems Using Electromagnets Mounted in a Planar Array,” NASA-TP 3229.
8. Groom, N. J., and Schaffner, R. P., 1990, “An LQR Controller Design Approach for a Large Gap Magnetic Suspension System (LGMSS),” NASA TM-101606.
9. Haykin, S., 1991, Adaptive Filter Theory, Second edition, Prentice-Hall, Englewood Cliffs, NJ.
10. Juang, J.-N., and Pappa, R. S., 1985, “An Eigensystem Realization Algorithm for Modal Parameter Identification and Model Reduction,” AIAA J. Guidance. Control, and Dynamics, Vol. 8, pp. 620-627.
11. Juang, J.-N., Phan, M., Horta, L. G., and Longman, R. W., 1993, “Identification of Observer/Kalman Filter Markov Parameters: Theory and Experiments,” AIAA J. Guidance, Control and Dynamics, Vol. 16, No. 2, pp. 320-329.
12. Liu, K., and Skelton, R. E., 1990, “Closed-Loop Identification and Iterative Controller Design,” in Proc. IEEE Int. Conf. Decision and Control, pp. 482-487.
13. Phan, M., Horta, L. G., Juang, J.-N., and Longman, R. W., 1993, “Linear System Identification via an Asymptotically Stable Observer,” J. Optimization Theory and Application, Vol. 79, No. 1, 1993, pp. 59-86.
14. Phan, M., Juang, J.-N., Horta, L. G., and Longman, R. W., 1992, “System Identification from Closed-Loop Data with Known Output Feedback Dynamics,” J. Guidance, Control and Dynamics, Vol. 17, No. 4, 1994, pp. 661-669.