Details

Title

Regular design equations for the discrete reduced-order Kalman filter

Journal title

Archives of Control Sciences

Yearbook

2012

Numer

No 2

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

2012

Identifier

ISSN 1230-2384

References

Anderson B. (1979), Optimal Filtering. ; Brammer K. (1968), Lower order optimal linear filtering of nonstationary random sequences, IEEE Trans. on Automatic Control, 13, 198, doi.org/10.1109/TAC.1968.1098862 ; 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 ; 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. (2011), Regular design equations for the continuous reduced-order Kalman filter, Archives of Control Sciences, 21, 349, doi.org/10.2478/v10170-011-0001-7 ; Hippe P. (2009), Design of Observer-based Compensators - From the time to the frequency domain, doi.org/10.1007/978-1-84882-537-6 ; Hippe P. (1990), Optimal reduced-order estimators in the frequency domain: the discrete-time case, Int. J. of Control, 52, 1051, doi.org/10.1080/00207179008953583 ; Kailath T. (1980), Linear systems. ; KWAKERNAAK H. (1972), Linear Optimal Control Systems. ; O'Halloran W. (1972), Derivation of observers for continuous linear stochastic systems from the discrete formulation, null, 323. ; O'Reilly J. (1983), Observers for linear systems. ; Rosenbrock H. (1970), State space and multivariable theory. ; Soroka E. (1988), The properties of reduced-order minimum-variance filters for systems with partially perfect measurements, IEEE Trans. on Automatic Control, 33, 1022, doi.org/10.1109/9.14414 ; Uttam B. (1972), On observers and reduced-order optimal filters for systems with partially perfect measurements, null, 842.

DOI

10.2478/v10170-011-0019-x

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