activity
20092023
most citedPerformance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

325 citations · 841 across the 67 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

eess.SY2021

On-line Estimation of the Parameters of the Windmill Power Coefficient

Alexey Bobtsov, Romeo Ortega, Stanislav Aranovskiy +1

Wind turbines are often controlled to harvest the maximum power from the wind, which corresponds to the operation at the top of the bell-shaped power coefficient graph. Such a mode…

eess.SY2021

An Adaptive Observer for Uncertain Linear Time-Varying Systems with Unknown Additive Perturbations

Anton Pyrkin, Alexey Bobtsov, Romeo Ortega +1

In this paper we are interested in the problem of adaptive state observation of linear time-varying (LTV) systems where the system and the input matrices depend on unknown time-var…

math.OC2021

State Observation of Affine-in-the-States Systems with Unknown Time-Varying Parameters and Output Delay

Alexey Bobtsov, Nikolay Nikolaev, Romeo Ortega +2

In this paper we address the problem of adaptive state observation of affine-inthe-states time-varying systems with delayed measurements and unknown parameters. The development of…

eess.SY2021★ 3 cited

Observability is Sufficient for the Design of Globally Exponentially Convergent State Observers for State-affine Nonlinear Systems

Lei Wang, Romeo Ortega, Alexei Bobtsov

In this paper we are interested in the problem of state observation of state-affine nonlinear systems. Our main contribution is to propose a globally exponentially convergent obser…

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}…

math.DS2021

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…

stat.ME2021

Generation of new exciting regressors for consistent on-line estimation of unknown constant parameters

Alexey Bobtsov, Bowen Yi, Romeo Ortega +1

The problem of parameter estimation from a standard vector linear regression equation in the absence of sufficient excitation in the regressor is addressed. The first step to solve…

eess.SY2021

PID passivity-based droop control of power converters: Large-signal stability, robustness and performance

Daniele Zonetti, Gilbert Bergna-Diaz, Romeo Ortega +1

We present a full review of PID passivity-based controllers (PBC) applied to power electronic converters, discussing limitations, unprecedented merits and potential improvements in…