Smoothing algorithms for nonlinear distributed systems, can substantially reduce the error covariance vis-tt-vis filtering. SnmmarT--Fixed interval and fixed-lag smoothing algorithms are developed for a class of noisy nonlinear dism'buted parameter systems with unknown volume disturbances. Using a
Error analysis algorithms for distributed parameter filtering
β Scribed by G.R.V. Kumar; A.P. Sage
- Publisher
- Elsevier Science
- Year
- 1972
- Tongue
- English
- Weight
- 307 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
Interest in estimation in distributed parameter linear systems is increasing. Unfortunately, algorithms for filtering in distributed parameter systems are quite complex and thus suboptimization will often, in practice, be necessary. Also incorrect models for distributed processes and prior statistics lead to filter algorithms which are not optimal. This paper presents the derivation of error analysis algorithms for filtering in distributed parameter systems.
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