Title :
Cubature H∞ information filter
Author :
Bharani Chandra, Kumar Pakki ; Da-Wei Gu ; Postlethwaite, I.
Author_Institution :
Control & Instrum. Group, Univ. of Leicester, Leicester, UK
Abstract :
This paper presents a state estimation algorithm referred to as a cubature H∞ information filter (CH∞IF) for nonlinear systems. The proposed algorithm is developed from a cubature Kalman filter, an H∞ filter and an extended information filter. The CH∞IF is a derivative free filter, where the information state vector and information matrix are propagated rather than the state vector and error covariance matrix. Furthermore, the CH∞IF is extended for multi-sensor state estimation. The efficacy of the CH∞IF is demonstrated by a simulation example of a permanent magnet synchronous motor in the presence of Gaussian and non-Gaussian noises.
Keywords :
H∞ filters; estimation theory; matrix algebra; CH∞IF; cubature H∞ information filter; derivative free filter; extended information filter; information matrix; information state vector; multisensor state estimation; nonlinear systems; permanent magnet synchronous motor; state estimation algorithm; Covariance matrices; Jacobian matrices; Kalman filters; Noise; State estimation; Vectors;
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich