Neural approximators for nonlinear finite-memory state estimation
From MaRDI portal
Publication:4344781
DOI10.1080/002071797224298zbMath0875.93490OpenAlexW2098703861MaRDI QIDQ4344781
Angelo Alessandri, R. Zoppoli, Thomas Parisini
Publication date: 9 November 1997
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/002071797224298
Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)
Related Items (6)
Optimization of approximating networks for optimal fault diagnosis ⋮ Functional optimal estimation problems and their solution by nonlinear approximation schemes ⋮ Moving-horizon state estimation for nonlinear discrete-time systems: new stability results and approximation schemes ⋮ Model-based update in task-level feedforward control using on-line approximation ⋮ Sliding-window neural state estimation in a power plant heater line ⋮ Approximating networks and extended Ritz method for the solution of functional optimization problems
This page was built for publication: Neural approximators for nonlinear finite-memory state estimation