This study proposes a new multiple model estimation algorithm. Although the derivation of the proposed algorithm is different from the existing interacting multiplemodel (IMM), both algorithms are exactly the same if...
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This study proposes a new multiple model estimation algorithm. Although the derivation of the proposed algorithm is different from the existing interacting multiplemodel (IMM), both algorithms are exactly the same if the dynamic system is linear. However, for non-linear systems, it appears that the proposed algorithm is different from the IMM algorithm. The proposed algorithm is applied to the tracking problem of re-entry vehicles that is known as highly non-linear system. The estimation performance of the proposed algorithm is compared with IMM by a series of simulation runs. The result shows that the proposed algorithm improves the estimation performance.
A model-based fault diagnostic procedure is proposed for an eddy-current test instrument which utilises the multiple model estimation algorithm (MMEA). This algorithm essentially consists of a set of Kalman filters an...
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A model-based fault diagnostic procedure is proposed for an eddy-current test instrument which utilises the multiple model estimation algorithm (MMEA). This algorithm essentially consists of a set of Kalman filters and is an ideal candidate for realisation by parallel-processing techniques. A practical instrument has been developed, consisting of a commercially available eddycurrent test instrument linked to a parallel processor consisting of an array of 4 transputers. A set of tubular metal samples, with known inner and outer wall defects, has been fabricated to enable the performance of the experimental instrument to be evaluated, and some practical results are given in the paper.
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