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Proceedings ArticleDOI

Applications of output error recursive estimation algorithms for adaptive signal processing

I. Landau, +2 more
- Vol. 7, pp 639-642
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TLDR
The output error with extended estimation model adaptive algorithm is proposed and evaluated for real-time estimation of the parameters of the signal model.
Abstract
Several problems in signal processing can be approached as recursive identification problems for AR, ARMA or ARMAX models. The output error with extended estimation model adaptive algorithm is proposed and evaluated for real-time estimation of the parameters of the signal model. The applications of these techniques for the adaptive signal processing are presented. The theoretical aspects related to the convergence properties of this algorithm are also discussed.

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Citations
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Journal ArticleDOI

Adaptive IIR filtering: Current results and open issues

TL;DR: A tutorial-style framework is presented for understanding the current status of adaptive infinite-impulse-response (IIR) filters and the structures of provable convergent adaptive algorithms are derived.
Journal ArticleDOI

A feedback system approach to adaptive filtering

TL;DR: A survey of a design approach through an equivalent feedback representation (EFR) is presented for adaptive filters and several results for stabilityAnalysis in a deterministic environment and for convergence analysis in a stochastic environment are discussed.
Journal ArticleDOI

Real Time Vibration Control of Rotating Circular Plates by Temperature Control and System Identification

TL;DR: In this article, a system for real-time control of the transverse vibration of a rotating circular plate, based on a thermal stressing technique and dynamic system identification, is presented.
Journal ArticleDOI

Adaptive stochastic filters with no strict positive real condition

TL;DR: A new adaptive stochastic filter structure is introduced which avoids the strict passivity test used as a sufficient condition for convergence required by existing adaptive schemes and it is shown that the proposed algorithm will also reduce the bias in the estimated parameters.
Journal ArticleDOI

Real Time Vibration Control of Rotating Circular Plates by Temperature Control and System Identification

TL;DR: In this article, a system for real-time control of the transverse vibration of a rotating circular plate, based on a thermal stressing technique and dynamic system identification, is presented.
References
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Journal ArticleDOI

Paper: Recursive output error identification algorithms theory and evaluation

L. Dugard, +1 more
- 01 Sep 1980 - 
TL;DR: Several recurisve algorithms for parametric identification of discrete time systems derived from Model Reference Adaptive System (M.R.A.S.) techniques are analysed, belonging to the class of output error methods which have been very little discussed previously in the identification literature.
Journal ArticleDOI

Elimination of the real positivity condition in the design of parallel MRAS

TL;DR: In this article, the adaptive state observers are used as identifiers and the adaptive compensator acting on the generalized error is adapted recursively to ensure the global asymptotic stability of the adaptive system without requiring the satisfaction of a positive real condition.
Proceedings ArticleDOI

Near supermartingales for convergence analysis of recursive identification and adaptive control schemes

I. Landau
TL;DR: An equivalent stochastic feedback system can be associated to many recursive identification and adaptive control schemes and has a certain structure which is used for constructing near supermartingales allowing to establish a.s. convergence.
Journal ArticleDOI

Adaptive state estimation using MRAS techniques--Convergence analysis and evaluation

TL;DR: In this article, three adaptive state observers for discrete-time systems derived from MRAS techniques are presented, and conditions for the convergence of the estimated parameters to the desired ones in a stochastic environment are given.
Proceedings ArticleDOI

On adaptive IIR filters and parallel adaptive identifiers with adaptive error filtering

TL;DR: This paper clearly identifies the possible stall/failure mechanism of one of these candidate algorithms and proves the global stability of the other, but notes the equation error type source of the second's biased-ness in the presence of output measurement noise.
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