activity
20152026
most citedPerformance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

325 citations · 445 across the 19 of their papers we have counts for

collaborators

22 papers

eess.SY2026

An Algebraic Observer for State-Affine Systems

Romeo Ortega, Alexey Bobtsov, Anton Pyrkin +1

We present a new systematic method to design an algebraic swapping lemma observer for nonlinear systems which are affine in the state. Four are the main features of the new observe…

eess.SY2026

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega +1

In this paper we present a radically new approach to design state observers for nonlinear systems, with particular emphasis on physical ones. Our objective is to obtain an algebrai…

eess.SY2023

Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel

Vladimir Vorobyev, Alexey Bobtsov, Nikolay Nikolaev +1

The article investigates an algorithm for identifying an unknown constant parameter for a scalar regression model using a nonlinear operator that allows us to obtain a new regressi…

eess.SY2023

Synthesis of an adaptive observer of state variables for a linear stationary object in the presence of measurement noise

Alexey Bobtsov, Vladimir Virobyev, Nikolay Nikolaev +2

The article is devoted to the problem of synthesis of observers of state variables for linear stationary objects operating under conditions of noise or disturbances in the measurem…

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

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…

eess.SY2021

Geometry-Based Output Robust Tracking Control of a Quadrotor

O. I. Borisov, M. A. Kakanov, A. Iu. Zhivitckii +1

The paper solves the problem of tracking control of a quadrotor with unmeasurable pitch and roll angles based on the geometric approach with the use of the enhanced extended observ…

eess.SY2021★ 1 cited

Robust Control of a Surface Vessel with Adaptive Rejection of Disturbances with Unknown Parameters

O. I. Borisov, F. B. Gromova, A. Iu. Zhivitckii +1

This paper solves the problem of station-keeping control of a surface vessel under conditions of sinusoidal disturbances with unknown parameters. The proposed control algorithm is…

eess.SY2021

Estimation Algorithm Non-Stationary Frequency of the Sinusoidal Signal

S. I. Nizovtsev, S. V. Shavetov, A. A. Pyrkin

The article considers the problem of identifying the variable frequency of a sinusoidal signal. To obtain a regression model of the signal, an iterative differentiation of the orig…

eess.SY2020★ 1 cited

Frequency Estimation of Multi-Sinusoidal Signals in Finite-Time

Anastasiia Vediakova, Alexey Vedyakov, Anton Pyrkin +2

This paper considers the problem of frequency estimation for a multi-sinusoidal signal consisting of n sinuses in finite-time. The parameterization approach based on applying delay…

eess.SY2020

A Flux and Speed Observer for Induction Motors with Unknown Rotor Resistance and Load Torque and no Persistent Excitation Requirement

Anton Pyrkin, Alexey Bobtsov, Alexey Vedyakov +3

In this paper we address the problems of flux and speed observer design for voltage-fed induction motors with unknown rotor resistance and load torque. The only measured signals ar…

math.OC2019★ 2 cited

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…

eess.SY2019

New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases

Romeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin +2

We present some new results on the dynamic regressor extension and mixing parameter estimators for linear regression models recently proposed in the literature. This technique has…

eess.SY2018

Sensorless Control of the Levitated Ball

Alexey Bobtsov, Anton Pyrkin, Romeo Ortega +1

One of the most widely studied dynamical systems in nonlinear control theory is the levitated ball. Several full-state feedback controllers that ensure asymptotic regulation of the…

eess.SY2018★ 7 cited

On the Existence and Long-Term Stability of Voltage Equilibria in Power Systems with Constant Power Loads

Alexey S. Matveev, Juan E. Machado, Romeo Ortega +2

Voltage instability is a major threat in power system operation. The growing presence of constant power loads significantly aggravates this issue, hence motivating the development…

eess.SY2018★ 1 cited

Permanent Magnet Synchronous Motors are Globally Asymptotically Stabilizable with PI Current Control

Romeo Ortega, Nima Monshizadeh, Pooya Monshizadeh +2

This note shows that the industry standard desired equilibrium for permanent magnet synchronous motors (i.e., maximum torque per Ampere) can be globally asymptotically stabilized w…

eess.SY2017

A Robust Adaptive Flux Observer for a Class of Electromechanical Systems

Anton Pyrkin, Alexey Vedyakov, Romeo Ortega +1

The problem of designing a flux observer for magnetic field electromechanical systems from noise corrupted measurements of currents and voltages is addressed in this paper. Imposin…

eess.SY2017★ 3 cited

State Observers for Sensorless Control of Magnetic Levitation Systems

Alexey Bobtsov, Anton Pyrkin, Romeo Ortega +1

In this paper we address the problem of state observation for sensorless control of nonlinear magnetic levitation systems, that is, the regulation of the position of a levitated ob…

eess.SY2016

Identification of Photovoltaic Arrays' Maximum Power Extraction Point via Dynamic Regressor Extension and Mixing

Anton Pyrkin, Fernando Mancilla-David, Romeo Ortega +2

This paper deals with the problem of identification of photovoltaic arrays' maximum power extraction point---information that is encrypted in the current-voltage characteristic equ…

eess.SY2016★ 3 cited

Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing

Aranovskiy Stanislav, Bobtsov Alexey, Ortega Romeo +1

A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergen…

eess.SY2015★ 325 cited

Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

Aranovskiy Stanislav, Bobtsov Alexey, Ortega Romeo +1

A new way to design parameter estimators with enhanced performance is proposed in the paper. The procedure consists of two stages, first, the generation of new regression forms via…

eess.SY2015★ 102 cited

A Parameter Estimation Approach to State Observation of Nonlinear Systems

Ortega Romeo, Bobtsov Alexey, Pyrkin Anton +1

A novel approach to the problem of partial state estimation of nonlinear systems is proposed. The main idea is to translate the state estimation problem into one of estimation of c…