@article{KYB_1990_26_2_a2,
author = {\v{S}t\v{e}p\'an, Jarom{\'\i}r},
title = {The uncertainty problem in control theory. {II.} {The} internally robust procedures},
journal = {Kybernetika},
pages = {122--133},
year = {1990},
volume = {26},
number = {2},
mrnumber = {1059795},
zbl = {0723.93050},
language = {en},
url = {http://geodesic.mathdoc.fr/item/KYB_1990_26_2_a2/}
}
Štěpán, Jaromír. The uncertainty problem in control theory. II. The internally robust procedures. Kybernetika, Tome 26 (1990) no. 2, pp. 122-133. http://geodesic.mathdoc.fr/item/KYB_1990_26_2_a2/
[1] M. Athans: Advances and open problems on the control of large scale systems. In: Proc. of VII IFAC Congress (Helsinki 1978), Pergamon Press, Oxford 1978, pp. 2371 - 2382.
[2] G. C Goodwin: Some observations on robust estimation and control. In: Proc. of 7th IFAC/IFORS Symp. on Identification and Parameter Estimation, York 1985, Pergamon Press, Oxford 1985.
[3] P. V. Kokotovic: Control theory in the 80's: Trends in feedback design. Prepr. IX IFAC Congress, Vol. VI, Budapest 1984.
[4] S. Körner: Experience and Theory. Routledge \& Kegan, London 1966.
[5] L. Ljung, T. Soderstrom: Theory and Practice of Recursive Identification. MIT Press, Massachusetts 1983. | MR
[6] C Moler, Ch. van Loan: Nineteen dubious ways to compute the exponential of a matrix. SIAM Rev. 20 (1978), 801-836. | MR | Zbl
[7] K. R. Popper: The Logic of Scientific Discovery. Hutchinson, London 1968. | MR
[8] A. Ralston: A First Course in Numerical Analysis. McGraw-Hill, New York 1965. | MR | Zbl
[9] J. R. Rice: Numerical Methods, Software, and Analysis. McGraw-Hill, Tokyo 1983.
[10] J. Štěpán: Some problems of systems identification. Kybernetika 7 (1971), 2, 133-155. | MR
[11] J. Štěpán: Messgenauigkeit und Regelungstheorie. Regelungstechnik und Prozess-Datenverarbeitung 20 (1972), 203-207.
[12] J. Štěpán: Uncertainty problem in cybernetics (in Czech). In: Repr. of the Conference on Cybernetics, Prague, November 1976.
[13] J. Štěpán: Control of regulator-configurations in large scale systems. In: Fourth Formator Symposium on Mathematical Methods for the Analysis of Large Scale Systems (J. Beneš, L. Bakule, eds.), Academia, Prague 1983.
[14] J. Štěpán: Nonlinear approximation in control problems. Kybernetika 19 (1983), 6, 491 - 504. | MR
[15] J. Štěpán: Approximation versus identification. In: Proc. of 7th IFAC/IFORS Symp. on Identification and Parameter Estimation, York 1985, Pergamon Press, Oxford 1985.
[16] J. Štěpán: A new method for the nonlinear approximation of signals. Part I: The optimal damping factor. Kybernetika 22 (1986), 5, 425-438. Part II: The convergence problem. Kybernetika 22 (1986), 6, 503-513.
[17] J. Štěpán: Robust quasi-linear system identification. Kybernetika 24 (1988), 4, 259-277. | MR
[18] V. N. Tutubalin: Theory of Probability (in Russian). Mir, Moscow 1972. | MR
[19] P. Young: Recursive Estimation and Time-Series Analysis. Springer-Verlag, Berlin-Heidelberg-New York 1984. | Zbl
[20] J. Zaborszky: Development of systems science - past, present, and future. Prepr. IX. IFAC Congress, Vol. VI. Budapest 1984.