A NEW RECURSIVE FORMULATION FOR FAST ESTIMATION OF TIME-VARYING UNKNOWN INPUT. APPLICATION FOR ESTIMATING A PARTICLE ACCELERATION

作者：Sircoulomb Vincent^*; Hoblos Ghaleb; Chafouk Houcine; Ragot Jose

来源：International Journal of Innovative Computing Information and Control, 2011, 7(7A): 3779-3797.

• Unknown input estimation
• Kalman filtering
• Least squares
• Recursive algorithm
• Integral effect
• Computation
• Tracking

This paper proposes an extension of the Recursive Input Estimation (RIE) for estimating time-varying unknown input. This extension is based on modifications of the Least Squares (LS) algorithm of the RIE, which increase its capability to track time varying unknown input. These modifications consist in inserting a forgetting factor into the LS algorithm and adding an integral effect. Moreover, alternative formulations are proposed, allowing the reduction of computation time in the case where the number of inputs to estimate is lower than the number of measurements. The different tools obtained are tested and compared on a three-dimensional tracking application.

• 出版日期2011-7