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In addition to explicit design techniques a PID tuning algorithm stressing the importance of tracking is described.
The interface tracking is described by a TVD VOF algorithm and the equations of motion are solved using an augmented Lagrangian method.
The preprocessing before tracking is described in Section 2. The state model for multiple vehicles is built in Section 3. The adaptive and robust observation model is presented in Section 4. The reliable model updating strategy is introduced in Section 5.
An interesting approach to the general issue of target tracking is described in the subsequent paper 'Tracking target signal strengths on a grid using sparsity' by Farahmand, Giannakis, Leus, and Tian, whose main feature is the introduction of a grid-based model in which the state captures target signal strengths on a known spatial grid (TSSG).
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Two SP approaches, here-and-now and scenario tracking, are described through case studies for a prototype network.
Examples of the EnKF as tool for tomographic imaging and target tracking are described in [32] and [33], respectively.
Other solutions of routing protocol for target tracking are described in [9, 10, 19 21], called MRP-NEP: Non-Equal-Probability Multicast Routing.
In 2014, a novel 'hot spot' highly shifted proton (HSP) MRI technique for cell tracking was described that directly detects dysprosium (Dy)- or thulium (Tm)- 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetramethyl-1,4,7,10-tetraacetic acid (DOTMA -labeled protons insiDOTMA -labelede, 2014; Schmidt et al., 2014).
The track is described by a linear, three-dimensional and non-periodic finite element model of a railway turnout accounting for the variations in rail cross-sections and sleeper lengths, and including baseplates and resilient elements.
The going on the National and hurdle tracks at the Merseyside track is described as Good to Soft.
Showers are expected during the week although temperatures are expected to top 20C and the going at the track is described as good.
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