• Corpus ID: 1338028

RECURSIVE IDENTIFICATION ALGORITHMS LIBRARY

@inproceedings{Navratil2010RECURSIVEIA,
  title={RECURSIVE IDENTIFICATION ALGORITHMS LIBRARY},
  author={Petr Navratil and J{\'a}n Ivanka},
  year={2010}
}
This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic models ARX, ARMAX and OE. Several recursive identification methods were implemented in this library: Least Square Method (RLS), Recursive Leaky Incremental Estimation (RLIE), Damped Least Squares (DLS), Adaptive Control with Selective Memory (ACSM), Instrumental Variable Method (RIV), Extended Least Square Method (RELS), Prediction Error Method (RPEM) and Extended Instrumental Variable Method (ERIV… 

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References

SHOWING 1-10 OF 21 REFERENCES
Asymptotically optimum recursive prediction error methods in adaptive estimation and control
Recursive identification of time-varying systems via incremental estimation
TLDR
A new approach, recursive incremental estimation, is presented for identification of time-varying systems that can enlarge the memory length of the estimator while maintaining comparable tracking ability, so that some of the major problems experienced with existing algorithms can be reduced.
Recursive prediction error methods for adaptive estimation
  • J. Moore, H. Weiss
  • Computer Science
    1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes
  • 1978
TLDR
Specializations are derived from significant simplifications to a class of extended Kalman filters for linear state space models with the unknown parameters augmenting the state vector and in such a way as to yield good convergence properties.
Adaptive control with selective memory
TLDR
The Fisher information matrix and a variance estimator are used to measure the information content and this gives an algorithm for adaptive control which converges to a linear time invariant controller.
Process control applications of long-range prediction
 The recent Generalised Predictive Control algorithm (Clarke et al , 1984,87) is a self-tuning/ adaptive control algorithm that is based upon long-range prediction , and is thus claimed to be
On a general concept of forgetting
TLDR
This paper applies known principles of rational behaviour in such situations to propose a plausible and well justified solution to the problem of under-determined parameter estimation which is close to classical exponential forgetting, but regularized by available prior information.
Nonlinear System Identification
This chapter contains sections titled: Historical Review Supervised Multilayer Networks Unsupervised Neural Networks: Kohonen Network Unsupervised Networks: Adaptive Resonance Theory Network Model
System Identification: Theory for the User
Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis und praktische Anwendung der verschiedenen Verfahren zur Identifizierung hat. Da
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