Title :
State estimation using block-pulse functions
Author :
Mohan, B.M. ; Kar, Sanjeeb Kumar
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur
Abstract :
A new recursive algorithm is presented for estimating state variables of observable linear time-invariant continuous-time dynamical systems from the system input-output information using block-pulse functions (BPF). The principle of Luenberger observer is utilized for estimating the state variables. The proposed approach has the distinct advantage that the smoothing effect of integration reduces the influence of zero-mean observation noise on estimation. Results of simulation study on two examples indicate that the proposed recursive algorithm works quite well.
Keywords :
continuous time systems; filtering theory; linear systems; observability; observers; Luenberger observer; block-pulse function; filtering theory; observable linear time-invariant continuous-time dynamical system; recursive algorithm; state estimation; system input-output information; zero-mean observation noise; Band pass filters; Chebyshev approximation; Noise reduction; Observers; Recursive estimation; Smoothing methods; Space vector pulse width modulation; State estimation; State feedback; Working environment noise;
Conference_Titel :
India Conference, 2008. INDICON 2008. Annual IEEE
Conference_Location :
Kanpur
Print_ISBN :
978-1-4244-3825-9
Electronic_ISBN :
978-1-4244-2747-5
DOI :
10.1109/INDCON.2008.4768840
