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Found 14 papers, 3 papers with code
A data-based comparison of methods for reducing the peak volume flow rate in a district heating system
We consider the peak flow rate reduction that could be achieved with full a posteriori knowledge of this data.
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
Toward concretely understanding the benefit of pre-training for adaptive control, we study the adaptive linear quadratic control problem in the setting where the learner has prior knowledge of a collection of basis matrices for the dynamics.
Decentralized PI-control and Anti-windup in Resource Sharing Networks
We consider control of multiple stable first-order systems which have a control coupling described by an M-matrix.
Distributed Adaptive Control for Uncertain Networks
Control of network systems with uncertain local dynamics has remained an open problem for a long time.
An Online Learning Analysis of Minimax Adaptive Control
We present an online learning analysis of minimax adaptive control for the case where the uncertainty includes a finite set of linear dynamical systems.
Anti-windup coordination strategy around a fair equilibrium in resource sharing networks
This paper aims at coordinating interconnected agents where the control input of each agent is limited by the control input of others.
Hydraulic Parameter Estimation in District Heating Networks
In this paper, a method is proposed to obtain a grey-box hydraulic model for tree-shaped district heating systems: hydraulic parameters are estimated based on pressure measurements in only two locations.
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems
This paper deals with a distributed implementation of minimax adaptive control algorithm for networked dynamical systems modeled by a finite set of linear models.
Distributed adaptive stabilization
In this paper we consider distributed adaptive stabilization for uncertain multivariable linear systems with a time-varying diagonal matrix gain.
Combating District Heating Bottlenecks Using Load Control
This increases the effect of the already existing issue of hydraulic bottlenecks, causing peripheral units (customers) to experience reduced flow rates.
Minimax Adaptive Estimation for Finite Sets of Linear Systems
For linear time-invariant systems with uncertain parameters belonging to a finite set, we present a purely deterministic approach to multiple-model estimation and propose an algorithm based on the minimax criterion using constrained quadratic programming.
Optimization and Control
From self-tuning regulators to reinforcement learning and back again
Machine and reinforcement learning (RL) are increasingly being applied to plan and control the behavior of autonomous systems interacting with the physical world.
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
Our proposed model recovers SAGA, SDCA, Finito, and SAG as special cases.
Low-rank Optimization with Convex Constraints
In this paper, we propose an alternative convex relaxation that uses the convex envelope of the squared Frobenius norm and the rank constraint.
