Adaptive Control: The Model Reference Approach
Adaptive Control: The Model Reference Approach
Comparison of six on-line identification algorithms
Automatica (Journal of IFAC)
Comparison of six on-line identification and parameter estimation methods
Automatica (Journal of IFAC)
Paper: A theoretical analysis of recursive identification methods
Automatica (Journal of IFAC)
Gradient based and least-squares based iterative identification methods for OE and OEMA systems
Digital Signal Processing
Exponential convergence of adaptive identification and control algorithms
Automatica (Journal of IFAC)
Brief paper: Combining model reference adaptive controllers and stochastic self-tuning regulators
Automatica (Journal of IFAC)
Brief paper: Some properties of the output error method
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Combined parameter and output estimation of dual-rate systems using an auxiliary model
Automatica (Journal of IFAC)
Hi-index | 22.15 |
Several recurisve algorithms for parametric identification of discrete time systems derived from Model Reference Adaptive System (M.R.A.S.) techniques are analysed. All these algorithms belong to the class of output error methods which have been very little discussed previously in the identification literature. These algorithms are analysed in the deterministic and stochastic environment using the Equivalent Feedback Representation (E.F.R.) and Ordinary Differential Equation (O.D.E.) methods respectively. A comparative evaluation of these algorithms is presented. This comparison is made also with respect to various widely used recursive algorithms belonging to the 'equation error method' (extended least squares, approximate maximum likelihood).