Neuro-adaptive H∞ estimation and its application to improved tracking in GPS receivers

IEEE Transactions on Industrial Electronics

Volumn 56, Issue 3, 2009, Pages 642-647

  Yaesh, Isaac ^a   Shaked, Ur ^b  

^a Advanced Systems Division   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

GPS tracking; H estimation; Neuro adaptive estimation

Indexed keywords

ESTIMATION;

ADAPTIVE CONTROLS; ADAPTIVE SCHEMES; DESIGN APPROACHES; GPS RECEIVERS; GPS TRACKING; INNOVATION PROCESS; NEURO-ADAPTIVE ESTIMATION; OPTIMAL FILTERS; OVERALL ESTIMATIONS; RELATED SYSTEMS; TRACKING PROPERTIES;

GLOBAL POSITIONING SYSTEM;

EID: 63149139087     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2008.2008343     Document Type: Conference Paper

References (21)

1. R. E. Kalman, "A new approach to linear filtering and prediction problems," Trans. ASME, J. Basic Eng., vol. 82, no. 1, pp. 35-45, 1960.
2. H.W. Sorenson, Kalman Filtering: Theory and Application. Piscataway, NJ: IEEE Press, 1985.
3. H. Kwakernaak and R. Sivan, "The maximally achievable accuracy of linear optimal regulators and linear optimal filters," IEEE Trans. Autom. Control, vol. AC-17, no. 1, pp. 79-86, Feb. 1972.
4. K. Sobel, H. Kaufman, and I. Mabius, "Implicit adaptive control for a class of MIMO systems," IEEE Trans. Aerosp. Electron. Syst., vol. AES-18, no. 5, pp. 576-589, Sep. 1982.
5. K. Sobel, "Simplified adaptive control for not ASPR systems," in Proc. ICCON, Jerusalem, Israel, Apr. 1-6, 1989, pp. 262-267.
6. H. Kaufman, I. Barkana, and K. Sobel, Direct Adaptive Control Algorithms - Theory and Applications, 2nd ed. New York: Springer-Verlag, 1998.
7. S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequality in Systems and Control Theory, ser. SIAM Frontier. Philadelphia, PA: SIAM, Apr. 1994.
8. I. Bar-Kana, "Positive-realness in discrete-time adaptive control systems," Int. J. Syst. Sci., vol. 17, no. 7, pp. 1001-1006, Jul. 1986.
9. J. A. Luzardo, A. Chassiakos, and H. Ryaciotaki-Boussalis, "Adjustable neural network controller: Application to a large segmented reflector," in Proc. AACC, 1997, pp. 227-231.
10. I. Yaesh and U. Shaked, "Simplified adaptive estimation," Syst. Control Lett., vol. 57, no. 1, pp. 49-55, Jan. 2008.
11. H. Kwakernaak, "Minimax frequency domain performance and robustness optimization of linear feedback systems," IEEE Trans. Autom. Control vol. AC-30, no. 10, pp. 994-1004, Oct. 1985.
12. J. A. Luzardo, "Neural networks for approximation and control of continuous nonlinear systems," Ph.D. dissertation, Dept. Math., Claremont Graduate Univ., Claremont, CA, Jan. 1997.
13. I. Yaesh and U. Shaked, "Simplified adaptive control via improved robust positive real conditions," Syst. Control Lett., vol. 55, no. 12, pp. 1033-1040, Dec. 2006.
14. I. Yaesh and U. Shaked, "A transfer function approach to the problems of discrete-time systems Hi]∞ - Optimal control and filtering," IEEE Trans. Autom. Control, vol. AC-36, no. 11, pp. 1264-1271, Nov. 1991.
15. I. Yaesh and U. Shaked, "H∞ - Optimal estimation: The discrete-time case," in Proc. Int. Symp. MTNS, H. Kimura and S. Kodama, Eds., Osaka, Japan, 1992, vol. 1, pp. 261-267.
16. Y. Oshman andM. Koifman, "Robust navigation using the global positioning system in the presence of spoofing," J. Guid., Control Dyn., vol. 29, no. 1, pp. 95-104, Jan./Feb. 2006.
17. Satellite Navigation Toolbox 2.0 for MATLAB, GPSoft, Athens, OH, 1999.
18. R. Ben-Yamin, I. Yaesh, and U. Shaked, "Robust discrete-time simplified adaptive control," in Proc. 7th CONTROLO, Lisbon, Portugal, Sep. 11-13, 2006. [CD-ROM].
19. N. Agarwal et al., "Algorithms for GPS operation indoors and downtown," GPS Solut., vol. 6, no. 3, pp. 149-160, 2002.
20. R. Daily and D. M. Bevly, "The use of GPS for vehicle stability control systems," IEEE Trans. Ind. Electron., vol. 51, no. 2, pp. 270-277, Apr. 2004.
21. G. Locchapelle, "GPS indoor location techniques," J. Global Positioning Syst., vol. 3, pp. 2-11, 2004.