We also explain how the proposed approach can be extended to a general system of N agents and discuss efficient computation of our estimation strategy.
Adjoint sensitivity computation of parameter estimation problems is a widely used technique in the field of computational science and engineering for retrieving derivatives of a cost functional with respect to parameters efficiently.
The enhanced precision on the computation of the estimation error bounds has been possible thanks to the use of the a posteriori calculated covariance matrix that allows, in a second time, a more suitable description of the dissipation equation used in the Bounded-real lemma formulation.
After the image processing, one fusion algorithm denoted adaptive estimator is applied to perform the computation of the radar estimation.
During the synthesis stage, the computation of the visual estimation for a sequence of length T-frames takes on the order of M N2T operations.
Note that in practice we do not require the computation of the smoothing estimation error covariance, Σ x,k|N, for the smoother recursion.
It can simply be implemented by a lookup table [29, 30] (line 4 in Algorithm 1), and its complexity is merely the computation of the linear estimation ŝ ZF.
Besides, the presented method has advantages over the extended Kalman filter (EKF) and sliding mode observer (SMO) algorithms in terms of computation cost, estimation accuracy and convergence rate.
From (9), (12), and (30), it is found that estimating the inverse filters,, and consumes the major computation of crosstalk cancellation filter estimation.
Williams and Shah's work [ 28] presented several curvature approximation methods for discrete curves and evaluated their efficiency of computation, accuracy of the estimation, and presence of anomalies.
