The following publications are possibly variants of this publication:
- Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and MixingStanislav Aranovskiy, Alexey A. Bobtsov, Romeo Ortega, Anton A. Pyrkin. tac, 62(7):3546-3550, 2017. [doi]
- Conditions for Convergence of Dynamic Regressor Extension and Mixing Parameter Estimators Using LTI FiltersBowen Yi, Romeo Ortega. tac, 68(2):1253-1258, February 2023. [doi]
- Parameters estimation via dynamic regressor extension and mixingStanislav Aranovskiy, Alexey A. Bobtsov, Romeo Ortega, Anton A. Pyrkin. amcc 2016: 6971-6976 [doi]
- Adaptive state observers using dynamic regressor extension and mixingAnton A. Pyrkin, Alexey A. Bobtsov, Romeo Ortega, Alexey A. Vedyakov, Stanislav Aranovskiy. scl, 133, 2019. [doi]
- Adaptive control of linear multivariable systems using dynamic regressor extension and mixing estimators: Removing the high-frequency gain assumptionsRomeo Ortega, Dmitry N. Gerasimov, Nikita Barabanov, Vladimir O. Nikiforov. automatica, 110, 2019. [doi]
- Diffusion-Based Distributed Parameter Estimation Through Directed Graphs With Switching Topology: Application of Dynamic Regressor Extension and MixingAlexey S. Matveev, Seyed Mostafa Almodarresi, Romeo Ortega, Anton A. Pyrkin, Siyu Xie. tac, 67(8):4256-4263, 2022. [doi]
- New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-Time CasesRomeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin, Alessandro Astolfi, Alexey A. Bobtsov. tac, 66(5):2265-2272, 2021. [doi]