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[HTML][HTML] Optimization algorithms as robust feedback controllers
Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
[HTML][HTML] Adaptive real-time grid operation via online feedback optimization with sensitivity estimation
In this paper we propose an approach based on an Online Feedback Optimization (OFO)
controller with grid input–output sensitivity estimation for real-time grid operation, eg, at …
controller with grid input–output sensitivity estimation for real-time grid operation, eg, at …
Deployment of an online feedback optimization controller for reactive power flow optimization in a distribution grid
Optimization is an essential part of power grid operation and lately, Online Optimization
methods have gained traction. One such method is Online Feedback Optimization (OFO) …
methods have gained traction. One such method is Online Feedback Optimization (OFO) …
Model-free nonlinear feedback optimization
Feedback optimization is a control paradigm that enables physical systems to autonomously
reach efficient operating points. Its central idea is to interconnect optimization iterations in a …
reach efficient operating points. Its central idea is to interconnect optimization iterations in a …
[HTML][HTML] Tuning and testing an Online Feedback Optimization controller to provide curative distribution grid flexibility
Due to more volatile generation, flexibility will become more important in transmission grids.
One potential source of this flexibility can be distribution grids. A flexibility request from the …
One potential source of this flexibility can be distribution grids. A flexibility request from the …
Nonconvex distributed feedback optimization for aggregative cooperative robotics
Distributed aggregative optimization is a recently emerged framework in which the agents of
a network want to minimize the sum of local objective functions, each one depending on the …
a network want to minimize the sum of local objective functions, each one depending on the …
Sampled-data online feedback equilibrium seeking: Stability and tracking
This paper proposes a general framework for constructing feedback controllers that drive
complex dynamical systems to" efficient" steady-state (or slowly varying) operating points …
complex dynamical systems to" efficient" steady-state (or slowly varying) operating points …
[HTML][HTML] A holistic model-less approach for the optimal real-time control of power electronics-dominated AC microgrids
This paper addresses the problem of optimally operating a set of grid-forming devices in an
AC microgrid when a detailed network model is not available. The main aim of the approach …
AC microgrid when a detailed network model is not available. The main aim of the approach …
[HTML][HTML] Online Feedback Optimization of compressor stations with model adaptation using Gaussian process regression
Abstract Online Feedback Optimization is a method used to steer the operation of a process
plant to its optimal operating point without explicitly solving a nonlinear constrained …
plant to its optimal operating point without explicitly solving a nonlinear constrained …
Aggregative feedback optimization for distributed cooperative robotics
In this paper we propose Aggregative Tracking Feedback, ie, a novel distributed feedback
optimization law that steers network systems to a steady state, which is optimal according to …
optimization law that steers network systems to a steady state, which is optimal according to …