Strong consistency of parameter estimates in direct self-tuning control algorithms based on stochastic approximation
DOI10.1016/0005-1098(90)90024-CzbMath0705.93053OpenAlexW2019451808MaRDI QIDQ918489
Srdjan S. Stanković, Miloje S. Radenkovic
Publication date: 1990
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(90)90024-c
convergencedelaystochastic approximationstrong consistencyARMAX modelparameter estimatestime-invariantself-tuning control
Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Stochastic approximation (62L20)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Self-tuning servo for stochastic references
- Exponential convergence of adaptive identification and control algorithms
- Stability of adaptive controllers
- Stochastic adaptive control using a modified least squares algorithm
- Theory and applications of selftuning regulators
- On self tuning regulators
- Asymptotically Efficient Self-Tuning Regulators
- Recursive System Identification and Adaptive Control by Use of the Modified Least Squares Algorithm
- The strong consistency of the stochastic gradient algorithm of adaptive control
- Adaptive control with recursive identification for stochastic linear systems
- Persistence of excitation conditions and the convergence of adaptive schemes
- On the convergence of self-tuning stochastic servo algorithms based on stochastic approximation
- A Survey of Some Results in Stochastic Adaptive Control
- Adaptive control with the stochastic approximation algorithm: Geometry and convergence
- On the concept of excitation in least squares identification and adaptive control†
- Extended least squares and their applications to adaptive control and prediction in linear systems
- Asymptotically Optimal Adaptive Control with Consistent Parameter Estimates
- Self-Tuning Trackers
- Stochastic adaptive control and prediction--The general delay-colored noise case
- Discrete Time Stochastic Adaptive Control
- Analysis of recursive stochastic algorithms
This page was built for publication: Strong consistency of parameter estimates in direct self-tuning control algorithms based on stochastic approximation