A direct maximum likelihood optimization approach to identification of LPV time-delay systems
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Publication:327997
DOI10.1016/j.jfranklin.2016.03.005zbMath1347.93253OpenAlexW2319462671MaRDI QIDQ327997
Xianqiang Yang, Huijun Gao, Biao Huang
Publication date: 20 October 2016
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.03.005
Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)
Related Items (7)
Augmented flexible least squares algorithm for time‐varying parameter systems ⋮ Parameter estimation algorithms for Hammerstein output error systems using Levenberg-Marquardt optimization method with varying interval measurements ⋮ The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise ⋮ \(H_\infty\) finite-time control for LPV systems with parameter-varying time delays and external disturbance via observer-based state feedback ⋮ Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise ⋮ Online identification of time‐delay jump Markov autoregressive exogenous systems with recursive expectation‐maximization algorithm ⋮ Maximum likelihood based identification methods for rational models
Cites Work
- Refined instrumental variable methods for identification of LPV Box-Jenkins models
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- An Importance Sampling Maximum Likelihood Direction of Arrival Estimator
- A Non-Data-Aided Maximum Likelihood Time Delay Estimator Using Importance Sampling
- Letter to the Editor—-A Closed Form Solution of Certain Programming Problems
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