State smoothing and filtering with stack sequential schemes for non-linear dynamic systems with anNth-order memory
作者:
KERİM DEMİRBAŞ,
期刊:
International Journal of Systems Science
(Taylor Available online 1990)
卷期:
Volume 21,
issue 3
页码: 537-545
ISSN:0020-7721
年代: 1990
DOI:10.1080/00207729008910386
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A stack sequential decoding algorithm is used estimate states of dynamic models with an Nth-order memory.The state at the future and observation at the present are linear or non-linear functions of the disturbance noise, the observation noise, and either the present or N - 1 past discrete values of the state. States are estimated by approximating the state model by a finite state machine and then using a stack sequential decoding algorithm of Information Theory. The proposed suboptimum scheme is faster and more practical than the estimation schemes using the Viterbi decoding algorithm.
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