Optimal non-linear estimation for distributed-parameter systems via the partition theorem

DOI10.1080/00207728008967078zbMath0449.93054OpenAlexW2031792683MaRDI QIDQ3896938

Takashi Soeda, Toshio Yoshimura, Keigo Watanabe

Publication date: 1980

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728008967078

zbMATH Keywords

stochastic distributed-parameter systems

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)

Related Items (7)

Partitioned adaptive filtering and control of distributed systems with space-dependent unknown parameters ⋮ Optimal structurally partitioned filter for undisturbable stochastic systems Part I. Basic theory ⋮ An alternative approach to the derivation of distributed-type partitioned filters ⋮ Recent advances in the study of distributed parameter systems ⋮ Optimal partitioned filter of stochastic distributed parameter dynamical systems with unknown initial state ⋮ Multipartitioning in distributed parameter adaptive estimation ⋮ Generalized Chandrasekhar algorithms for distributed-parameter filtering problem with pointwise coloured measurement noise

Cites Work

• Bayesian approach to distributed-parameter filtering and smoothing†
• Nonlinear Bayesian estimation using Gaussian sum approximations
• Optimal estimation in distributed processes using the innovations approach
• Unnamed Item

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