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The multimodel prediction shows significant improvements in terms of closed-loop performance and estimation of the feasibility domain.
The approach presented in this paper has been implemented on the mobile interaction robot Horos to determine the performance and estimation accuracy under real-world conditions.
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Simultaneous measurements of flow rates and volumes allowed for evaluation of the cells' hydraulic performances and estimation of pollutant load removal efficiencies and EMC reductions.
In order to clearly present the estimation performance and compare estimation results, the root mean square (RMS) values and the normalised root mean square (NRMS) values of the estimation errors are calculated.
The performance analysis and estimation in the simulation and implementation domains are supported, necessitating no design and implementation of HW co-processing blocks for the partitioning evaluation.
Each of these phases, data simulation, tree processing, performance measures, and estimation approaches explored are detailed below.
Control performance and friction estimation accuracy are demonstrated experimentally using the testbed.
Hardware-dependent profiling is used more for performance and cost estimation of parallel systems or systems with parallel features.
The results illustrated that the semi-adaptive switching control approach could provide benefits in terms of reference tracking performance and parameter estimation accuracy.
The purpose of this work was to determine the degree of equivalence of the channelized Hotelling observer performance and uncertainty estimation using an intercomparison exercise.
Further work should consider implementation performance and complexity estimation with a comparison to similar flexible systems using traditional OFDM techniques.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com