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4 paź 1999 · This paper deals with the design, choice, and comparison of model sets in the multiple-model (MM) approach to adaptive estimation. Most representative problems of model-set choice and design are considered.
1 kwi 2018 · A scenic designer uses many tools to create a set: a visual script analysis, thumbnail sketches, detailed sketches or renderings, and scenic models. Below is a breakdown of one approach to the creative work of scenic design. Not everything works for everyone. These steps are a guide to help you develop your personal process.
30 paź 2023 · Interacting Multiple-Mode Estimation Using Centroid Fixed Structure for High Precision. Abstract: Model set design is an important area for multiple-mode estimation, and its main purpose is to design a suitable model set to improve the accuracy and stability of target tacking.
Model-set design and choice examples are presented. The importance and usefulness of modeling true mode and models as random variables are demonstrated. The construction of such a probabilistic model is also demonstrated.
This paper presents theoretical results on the model-set design in a general setting. General results for probability-distribution based, minimum-distance based, and moment-matching design are presented. These results provide con-crete designs as well as guidelines and insights that are helpful for model-set design.
This paper proposes a method for model-set design in the parameter space based on a number theoretic approach to the design of statistical experiments. Here the uncertain system is characterized by uncertain parameters that parametrize the mode space.
Several general methods for design of model sets are presented by minimizing distribution mismatch, minimizing modal distance, and moment matching. The concept of rel-ative efficacy of each model in a set and its two quantitative descriptions are introduced.
