Recursive identification of bilinear systems

DOI10.1080/00207178708933743zbMath0619.93024OpenAlexW1985652557MaRDI QIDQ3757756

Lennart Ljung, Farhat Fnaiech

Publication date: 1987

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178708933743

zbMATH Keywords

algorithmsparametric identificationbilinear systemscontinuous-timetime-varying Kalman filtermodel predictor

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) System identification (93B30) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Identification in stochastic control theory (93E12)

Related Items (13)

Parameter identification and convergence analysis based on the least-squares method for a class of non-linear systems Part 1. SISO case ⋮ Parameter identification and convergence analysis for a class of non-linear systems with time-varying random parameters ⋮ On-line structure detection and parameter estimation with exponential windowing for nonlinear systems ⋮ Recursive least squares and multi-innovation gradient estimation algorithms for bilinear stochastic systems ⋮ Adaptive control of nonlinear dynamic systems using \(\theta\)-adaptive neural networks ⋮ Self-tuning control of non-linear ARMAX models ⋮ Strong consistency and convergence rate of parameter identification for bilinear systems ⋮ Recursive maximum likelihood identification of a non-linear output-affine model ⋮ Parameter identification for nonlinear systems: guaranteed confidence regions through LSCR ⋮ Nonlinearity tests for bilinear systems ⋮ Recursive identification of bilinear time-delay systems through the redundant rule ⋮ Optimal tuning of PID controllers for MIMO bilinear plants ⋮ Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization

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