Details

Title

Regular design equations for the continuous reduced-order Kalman filter

Journal title

Archives of Control Sciences

Yearbook

2011

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Description

Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.

Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science.

Publisher

Committee of Automatic Control and Robotics PAS

Date

2011

Identifier

ISSN 1230-2384

References

Anderson B. (1979), Optimal Filtering. ; Bryson A. (1965), Linear filtering for time-varying systems using measurements containing colored noise, IEEE Trans. on Automatic Control, 10, 4, doi.org/10.1109/TAC.1965.1098063 ; Fairman F. (1985), On reducing the order of Kalman filters for discretetime stochastic systems having singular measurement noise, IEEE Trans. on Automatic Control, 30, 1150, doi.org/10.1109/TAC.1985.1103832 ; Gelb A. (1996), Applied optimal estimation. ; Goodwin G. (2001), Control system design. ; Haddad W. (1987), The optimal projection equations for reduced-order state estimation: The singular measurement case, IEEE Trans. on Automatic Control, 32, 1135, doi.org/10.1109/TAC.1987.1104516 ; Hippe P. (1989), Design of reduced-order optimal estimators directly in the frequency domain, Int. J. of Control, 50, 2599, doi.org/10.1080/00207178908953517 ; Hippe P. (2009), Design of Observer-based Compensators - From the time to the frequency domain, doi.org/10.1007/978-1-84882-537-6 ; Kailath T. (1980), Linear systems. ; Kwakernaak H. (1972), Linear Optimal Control Systems. ; O'Reilly J. (1982), Comments on two recent papers on reduced-order optimal state estimation for linear systems with partially noise corrupted measurements, IEEE Trans. on Automatic Control, 27, 280, doi.org/10.1109/TAC.1982.1102859 ; O'Reilly J. (1983), Observers for linear systems. ; Rosenbrock H. (1970), State space and multivariable theory. ; Sage A. (1971), Estimation theory with applications to communications and control.

DOI

10.2478/v10170-011-0001-7

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