Bilinear system identification by Volterra kernels estimation

DOI10.1109/TAC.1984.1103630zbMath0541.93073MaRDI QIDQ3329343

Makato Inagaki, Hitoshi Mochizuki

Publication date: 1984

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

zbMATH Keywords

bilinear discrete-time dynamic systemsVolterra kernels estimation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (5)

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 ⋮ Recursive identification of bilinear systems ⋮ Hierarchical parameter and state estimation for bilinear systems ⋮ Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization

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