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20132023
most citedRisk-Averse Model Predictive Operation Control of Islanded Microgrids

39 citations · 94 across the 21 of their papers we have counts for

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18 papers · 1 filter

eess.SY2022

LQ Optimal Control for Power Tracking Operation of Wind Turbines

Aaron Grapentin, Arnold Sterle, Jörg Raisch +1

In this paper, an approach for active power control of individual wind turbines is presented. State-of-the-art controllers typically employ separate control loops for torque and pi…

eess.SY2020

Max-Consensus Over Fading Wireless Channels

Fabio Molinari, Navneet Agrawal, Sławomir Stanczak +1

The topic of this paper is achieving finite-time max-consensus in a multi-agent system that communicates over a fading wireless channel and exploits its interference property. This…

eess.SY2020★ 5 cited

Iterative learning control in prosumer-based microgrids with hierarchical control

Lia Strenge, Xiaohan Jing, Ruth Boersma +5

Power systems are subject to fundamental changes due to the increasing infeed of renewable energy sources. Taking the accompanying decentralization of power generation into account…

eess.SY2020★ 6 cited

Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation

Michael Meindl, Fabio Molinari, Jörg Raisch +1

Iterative Learning Control (ILC) schemes can guarantee properties such as asymptotic stability and monotonic error convergence, but do not, in general, ensure adherence to output c…

eess.SY2019

Fallback Strategies in Operation Control of Microgrids with Communication Failures

Inga Löser, Ajay Kumar Sampathirao, Steffen Hofmann +1

This paper proposes a model predictive control (MPC)-based energy management system to address communication failures in an islanded microgrid (MG). The energy management system re…

eess.SY2019★ 10 cited

Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks

Jonas Beuchert, Friedrich Solowjow, Jörg Raisch +2

Communication load is a limiting factor in many real-time systems. Event-triggered state estimation and event-triggered learning methods reduce network communication by sending inf…

eess.SY2019

Efficient Consensus-based Formation Control With Discrete-Time Broadcast Updates

Fabio Molinari, Joerg Raisch

This paper presents a consensus-based formation control strategy for autonomous agents moving in the plane with continuous-time single integrator dynamics. In order to save wireles…

eess.SY2018

Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections

Fabio Molinari, Alexander Martin Dethof, Joerg Raisch

This paper describes a decentralized control strategy for the automation of road intersections and studies its impact on traffic in a realistic urban road network. The controller i…

eess.SY2018★ 12 cited

Design of a Networked Controller for a Two-Wheeled Inverted Pendulum Robot

Zenit Music, Fabio Molinari, Sebastian Gallenmüller +6

The topic of this paper is to use an intuitive model-based approach to design a networked controller for a recent benchmark scenario. The benchmark problem is to remotely control a…

eess.SY2018

Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems

Fabio Molinari, Sławomir Stańczak, Jörg Raisch

This paper presents a consensus protocol that achieves max-consensus in multi-agent systems over wireless channels. Interference, a feature of the wireless channel, is exploited: e…

eess.SY2018

Automation Of Road Intersections Using Consensus-based Auction Algorithms

Fabio Molinari, Jörg Raisch

This paper investigates a consensus-based auction algorithm in the context of decentralized traffic control. In particular, we study the automation of a road intersection, where a…

eess.SY2017

Consensus analysis of systems with time-varying interactions : An event-triggered approach

S. Arun Kumar, N. R. Chowdhury, S. Srikant +1

We present consensus analysis of systems with single integrator dynamics interacting via time-varying graphs under the event-triggered control paradigm. Event-triggered control spa…

eess.SY2016★ 6 cited

Optimal control for a robotic exploration, pick-up and delivery problem

Vladislav Nenchev, Christos G. Cassandras, Jörg Raisch

This paper addresses an optimal control problem for a robot that has to find and collect a finite number of objects and move them to a depot in minimum time. The robot has fourth-o…

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…

eess.SY2015★ 2 cited

Comparing Asynchronous -Complete Approximations and Quotient Based Abstractions

Anne-Kathrin Schmuck, Paulo Tabuada, Jörg Raisch

This paper is concerned with a detailed comparison of two different abstraction techniques for the construction of finite state symbolic models for controller synthesis of hybrid s…

eess.SY2014

Constructing (Bi)Similar Finite State Abstractions using Asynchronous -Complete Approximations

Anne-Kathrin Schmuck, Jörg Raisch

This paper constructs a finite state abstraction of a possibly continuous-time and infinite state model in two steps. First, a finite external signal space is added, generating a s…

eess.SY2014

Asynchronous -Complete Approximations

Anne-Kathrin Schmuck, Jörg Raisch

This paper extends the -complete approximation method developed for time invariant systems to a larger system class, ensuring that the resulting approximation can be realized by…

eess.SY2013

Decentralized set-valued state estimation based on non-deterministic chains

Naim Bajcinca, Yashar Kouhi, Vladislav Nenchev +1

A general decentralized computational framework for set-valued state estimation and prediction for the class of systems that accept a hybrid state machine representation is conside…