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 2020Show all

11 papers · 1 filter

math.ST2020

Parameter Identification with Finite-Convergence Time Alertness Preservation

Romeo Ortega, Alexey Bobtsov, Nikolay Nikolaev

In this brief note we present two new parameter identifiers whose estimates converge in finite time under weak interval excitation assumptions. The main novelty is that, in contras…

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…

eess.SY2020

State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach

Alexey Bobtsov, Nikolay Nikolaev, Romeo Ortega +1

In this paper we address the problem of state observation of linear time-varying systems with delayed measurements, which has attracted the attention of many researchers|see [7] an…

eess.SY2020★ 6 cited

Conditions for Convergence of Dynamic Regressor Extension and Mixing Parameter Estimator Using LTI Filters

Bowen Yi, Romeo Ortega

In this note we study the conditions for convergence of recently introduced dynamic regressor extension and mixing (DREM) parameter estimator when the extended regressor is generat…

eess.SY2020

Distributed Observers for LTI Systems with Finite Convergence Time: A Parameter Estimation-based Approach

Romeo Ortega, Emmanuel Nuño, Alexei Bobtsov

A novel approach to solve the problem of distributed state estimation of linear time-invariant systems is proposed in this paper. It relies on the application of parameter estimati…

eess.SY2020★ 2 cited

A Globally Convergent State Observer for Multimachine Power Systems with Lossy Lines

Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev +1

We present the first solution to the problem of estimation of the state of multimachine power systems with lossy transmission lines. We consider the classical three-dimensional \fl…

eess.SY2020★ 2 cited

A Globally Stable Practically Implementable PI Passivity-based Controller for Switched Power Converters

Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev +1

In this paper we propose a PI passivity-based controller, applicable to a large class of switched power converters, that ensures global state regulation to a desired equilibrium po…

eess.SY2020

State Observation of Power Systems Equipped with Phasor Measurement Units: The Case of Fourth Order Flux-Decay Model

Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev +2

The problem of effective use of Phasor Measurement Units (PMUs) to enhance power systems awareness and security is a topic of key interest. The central question to solve is how to…

eess.SY2020★ 3 cited

PMU-Based Decentralized Mixed Algebraic and Dynamic State Observation in Multi-Machine Power Systems

M. Nicolai L. Lorenz-Meyer, Alexey A. Bobtsov, Romeo Ortega +2

We propose a novel decentralized mixed algebraic and dynamic state observation method for multi-machine power systems with unknown inputs and equipped with Phasor Measurement Units…

math.DS2020★ 91 cited

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…

eess.SY2020

Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization

Bowen Yi, Romeo Ortega, Ian R. Manchester +1

This paper aims to provide a new problem formulation of path following for mechanical systems without time parameterization nor guidance laws, namely, we express the control object…