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20192022
most citedIdentifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control

8 citations · 20 across the 19 of their papers we have counts for

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math.DS20221 cited

Parameter Estimation of Two Classes of Nonlinear Systems with Non-separable Nonlinear Parameterizations

Romeo Ortega, Alexey Bobtsov, Ramon Costa-Castello +1

In this paper we address the challenging problem of designing globally convergent estimators for the parameters of nonlinear systems containing a non-separable exponential nonlinea…

math.DS2022

Adaptive state observer for linear time-varying system with partially unknown parameters of the state matrix and the input vector

Alexey Bobtsov, Nikolay Nikolaev, Romeo Ortega +2

The article deals with the problem of synthesis of an adaptive observer of state variables of a linear time-varying SISO dynamic system. It is assumed that the control signal and t…

math.DS2021

Identification of time-Varying frequency of noiseless sinusoidal signal

A. A. Bobtsov, N. A. Nikolaev, O. V. Oskina +1

A new algorithm for estimating the time-varying frequency of a noiseless sinusoidal signal is considered. It is assumed that the amplitude and frequency of the sinusoidal signal ar…

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…

math.DS2020

Generalized Parameter Estimation-based Observers: Application to Power Systems and Chemical-Biological Reactors

Romeo Ortega, Alexey Bobtsov, Nikolay Nikolaev +2

In this paper we propose a new state observer design technique for nonlinear systems. It consists of an extension of the recently introduced parameter estimation-based observer, wh…