On the identification of bilinear systems from operating records†
From MaRDI portal
Publication:3328422
DOI10.1080/00207178408933261zbMath0539.93081OpenAlexW2050861004MaRDI QIDQ3328422
Publication date: 1984
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207178408933261
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) 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
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, A recursive (on-line) identification of bilinear systems, Adaptive control of nonlinear dynamic systems using \(\theta\)-adaptive neural networks, Recursive identification of bilinear systems, Self-tuning control of bilinear systems, Bilinear state space realization for polynomial stochastic systems, Nonlinearity tests for bilinear systems, Estimation of time delay and lag relationship of quadratic systems, BIBO stability criteria for a certain class of discrete nonlinear systems, Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Frequency domain versus time domain methods in system identification
- Bilinear control processes. With applications to engineering, ecology, and medicine
- System identification. A survey
- A TEST FOR LINEARITY OF STATIONARY TIME SERIES
- The estimation of autoregressive, moving average and mixed autoregressive moving average systems with time-dependent parameters of non-stationary time series