Optimal Experimental Designs in Two Dimensions Using Minimum Bias Estimation

Opi ' Imal Experimental Designs in Tho Dimensions Using Minimum Bias Estimation

Distributed Parameter State Estimation and Optimal Feedback Control - An Experimental Study in Two Space Dimensions GERHARD

Both optimal and suboptimal distributed parameter state estimation @ o m were applied in real time to a heated cylindrical ingot. Following this, deterministic and stochastic feedback controllers were implemented Detailed studies of the effects of variables such as sensor choice, measurement error, model acanacy, controller and estimator parameters, and computational approximations on the contr...

Optimal resolvable designs with minimum PV aberration

Amongst resolvable incomplete block designs, affine resolvable designs are optimal in many conventional senses. However, different affine resolvable designs for the same numbers of treatments, replicates, and block size can differ in how well they estimate elementary treatment contrasts. An aberration criterion is employed to distinguish the best of the affine resolvable designs for this task. ...

Maximin Latin Hypercube Designs in Two Dimensions

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Minimum bias multiple taper spectral estimation

Two families of orthonormal tapers are proposed for multitaper spectral analysis: minimum bias tapers, and sinusoidal tapers {v(k)}, where v (k) n = √ 2 N+1 sin πkn N+1 , and N is the number of points. The resulting sinusoidal multitaper spectral estimate is Ŝ(f) = 1 2K(N+1) ∑K j=1 |y(f+ j 2N+2)−y(f − j 2N+2)| 2, where y(f) is the Fourier transform of the stationary time series, S(f) is the spe...