Some problems of system identification

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1. Identification in Automatic Control Systems, Preprints of IFAC Symposium, Prague June 1967. Academia, Prague 1967. (1967) 
2. K. J. Aström, On the Achievable Accuracy in Identification Problems, In [1]. 
3. A. V. Balakrishnan, Identification of Control Systems from Input-Output Data, In [1]. 
4. R. Deutsch, Estimation Theory, Prentice-Hall, 1965. (1965) Zbl0141.34304MR0192572
5. P. Eykhoff, Process Parameter and State Estimation, In [1]. 
6. J. Mařík, On polynomials with Real Roots, (in Czech). Čas. pro pěstování matematiky 89 (1964), 1, 5-12. (1964) MR0180548
7. Nekolný J., Beneš J., Simultaneous Control of Stability and Quality of Adjustment-Application in Statistical Dynamics, Automatic and Remote Control Proceedings of the First IFAC Congress, Moscow 1960. Butterworths, London 1960. (1960) 
8. K. Skala, Experimental Identification of Systems by Adapting of the Parallel Model, In [1]. 
9. J. Štěpán, The Approximation of Transfer Functions by means of Dominant Roots, (in Czech). Automatizace 3 (1960), 7, 193-198. (1960) 
10. J. Štěpán, The Identification of Controlled Systems and the Limit of Stability, In [1]. 
11. J. Štěpán, The Applicability Limitation of Identification Methods, Kybernetika 5 (1969), 2, 97-111. (1969) MR0242521
12. J. Štěpán, Utilization of Control Theory in Practical Problems, (in Czech). Automatizace 12 (1969), 8, 210-213. (1969) 
13. J. Štěpán, Introduction to the Design of the Control of Thermal-Power Stations, (in Czech). SNTL, Praha 1963. (1963) 

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