On the strengthened robust SPR problem for discrete-time systems

Automatica

Volumn 37, Issue 4, 2001, Pages 625-628

  Mosquera, Carlos ^a   Pérez, Fernando ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; CONVERGENCE OF NUMERICAL METHODS; POLYNOMIALS; ROBUSTNESS (CONTROL SYSTEMS);

STRICTLY POSITIVE REAL (SPR) PROBLEMS;

DISCRETE TIME CONTROL SYSTEMS;

EID: 0343267774     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(00)00197-7     Document Type: Article

References (6)

1. Anderson, B. D. O., Dasgupta, S., Khargonekar, P., Kraus, F. J., & Mansour, M. (1990). Robust strict positive realness: Characterization and construction. IEEE Transactions on Circuits and Systems, 37(7), 869-876.
2. Anderson, B. D. O., & Landau, I. D. (1994). Least squares identification and the robust strict positive real property. IEEE Transactions on Circuits and Systems I, 41(9), 601-607.
3. Basso, M., Tesi, A., Vicino, A., & Zappa, G. (1995). Some analysis tools for the design of robust strict positive real systems. Proceedings of the 34th IEEE conference decision and control, New Orleans, LA, pp. 176-181.
4. Landau, I. D. (1979). Adaptive control. New York: Marcel Dekker.
5. Mosquera, C., & Pérez, F. (2001). Algebraic solution to the robust SPR problem for two polynomials. Automatica, 37(5), in press.
6. Shynk, J. J. (1989). Adaptive IIR filtering. IEEE ASSP Magazine, 6(2), 4-21.