activity
20152025
most citedData-Driven Control for Linear Discrete-Time Delay Systems

111 citations · 227 across the 14 of their papers we have counts for

collaborators

15 papers

eess.SY2025

Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation

Paul Hamelbeck, Johannes Schiffer

Robustness certification against bounded input noise or adversarial perturbations is increasingly important for deployment recurrent neural networks (RNNs) in safety-critical contr…

eess.SY2022★ 9 cited

A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures

Max Rose, Christian A. Hans, Johannes Schiffer

We propose an optimal operation control strategy for an electro-thermal microgrid. Compared to existing work, our approach increases flexibility by operating the thermal network wi…

eess.SY2022

PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise

Nicolai Lorenz-Meyer, René Suchantke, Johannes Schiffer

Dynamic state and parameter estimation methods for dynamic security assessment in power systems are becoming increasingly important for system operators. Usually, the data used for…

eess.SY2022★ 2 cited

Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements

Nicolai Lorenz-Meyer, René Suchantke, Johannes Schiffer

Dynamic state and parameter estimation (DSE) plays a key role for reliably monitoring and operating future, power-electronics-dominated power systems. While DSE is a very active re…

math.OC2020★ 111 cited

Data-Driven Control for Linear Discrete-Time Delay Systems

Juan G. Rueda-Escobedo, Emilia Fridman, Johannes Schiffer

The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design t…

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

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…

math.OC2020

Data-Driven Internal Model Control of Second-Order Discrete Volterra Systems

Juan G. Rueda-Escobedo, Johannes Schiffer

The increase in system complexity paired with a growing availability of operational data has motivated a change in the traditional control design paradigm. Instead of modeling the…

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.SY2018

Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing

Johannes Schiffer, Petros Aristidou, Romeo Ortega

The increasing penetration of power-electronic-interfaced devices is expected to have a significant effect on the overall system inertia and a crucial impact on the system dynamics…

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.SY2016★ 2 cited

A tool for stability and power sharing analysis of a generalized class of droop controllers for high-voltage direct-current transmission systems

Daniele Zonetti, Romeo Ortega, Johannes Schiffer

The problem of primary control of high-voltage direct current transmission systems is addressed in this paper, which contains four main contributions. First, to propose a new nonli…

math.OC2016

Robustness of Distributed Averaging Control in Power Systems: Time Delays & Dynamic Communication Topology

Johannes Schiffer, Florian Dörfler, Emilia Fridman

Distributed averaging-based integral (DAI) controllers are becoming increasingly popular in power system applications. The literature has thus far primarily focused on disturbance…

eess.SY2015

A survey on modeling of microgrids - from fundamental physics to phasors and voltage sources

Johannes Schiffer, Daniele Zonetti, Romeo Ortega +3

Microgrids have been identified as key components of modern electrical systems to facilitate the integration of renewable distributed generation units. Their analysis and controlle…