8 citations · 11 across the 5 of their papers we have counts for
7 papers
A New Least Squares Parameter Estimator for Nonlinear Regression Equations with Relaxed Excitation Conditions and Forgetting Factor
Romeo Ortega, Jose Guadalupe Romero, Stanislav Aranovskiy
In this note a new high performance least squares parameter estimator is proposed. The main features of the estimator are: (i) global exponential convergence is guaranteed for all…
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…
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}…
Parameter Estimation and Adaptive Control of Euler-Lagrange Systems Using the Power Balance Equation Parameterization
Jose Guadalupe Romero, Romeo Ortega, Alexey Bobtsov
It is widely recognized that the existing parameter estimators and adaptive controllers for robot manipulators are extremely complicated to be of practical use. This is mainly due…
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…
Parameter Estimation of Nonlinearly Parameterized Regressions without Overparameterization nor Persistent Excitation: Application to System Identification and Adaptive Control
Romeo Ortega, Vladislav Gromov, Emmanuel Nuño +2
In this paper we propose a solution to the problem of parameter estimation of nonlinearly parameterized regressions--continuous or discrete time--and apply it for system identifica…