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20152023
most citedAdaptive motion control of parallel robots with kinematic and dynamic uncertainties

52 citations · 96 across the 13 of their papers we have counts for

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5 papers · 1 filter

eess.SY2023

A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor

Anton Pyrkin, Alexey Bobtsov, Romeo Ortega +2

In this paper we provide the first solution to the challenging problem of designing a globally exponentially convergent estimator for the parameters of the standard model of a cont…

eess.SY2021★ 8 cited

Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control

Lei Wang, Romeo Ortega, Alexey Bobtsov +2

In this paper we propose a new parameter estimator that ensures global exponential convergence of linear regression models requiring only the necessary assumption of identifiabilit…

eess.SY2021★ 1 cited

Persistent Excitation is Unnecessary for On-line Exponential Parameter Estimation: A New Algorithm that Overcomes this Obstacle

Marina Korotina, Jose Guadalupe Romero, Stanislav Aranovskiy +2

In this paper, we prove that it is possible to estimate online the parameters of a classical vector linear regression equation , where $ Y \in \mathbb{R}^n,\;Ω\in \mathbb{R}…

eess.SY2020★ 52 cited

Adaptive motion control of parallel robots with kinematic and dynamic uncertainties

M. Reza J. Harandi, S. A. Khalilpour, Hamid. D. Taghirad +1

One of the most challenging issues in adaptive control of robot manipulators with kinematic uncertainties is requirement of the inverse of Jacobian matrix in regressor form. This r…

eess.SY2018★ 28 cited

Orbital Stabilization of Nonlinear Systems via the Immersion and Invariance Technique

Romeo Ortega, Bowen Yi, Jose Guadalupe Romero +1

Immersion and Invariance is a technique for the design of stabilizing and adaptive controllers and state observers for nonlinear systems. In all these applications the problem cons…