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   Articles with "distributed optimization" as a keyword



Robust Adaptive Model Predictive Control for Tracking in Interconnected Systems via Distributed Optimization

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recommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.70319

Abstract: This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local… read more here.

Keywords: model predictive; adaptive model; control; predictive control ... See more keywords

Sampled‐data‐based disturbance compensation distributed optimization control for a class of multi‐agent systems

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recommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7336

Abstract: This article investigates the distributed optimization feedback control for a family of multi‐agent systems with external disturbances. For physical implementation in the scenario that only the sampled‐state information is available, a novel disturbance compensation distributed… read more here.

Keywords: sampled data; control; multi agent; disturbance ... See more keywords

Prescribed‐Time Distributed Optimization With Set Constraints Based on Time‐Domain Transformation

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recommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7730

Abstract: This paper delves into the prescribed‐time distributed optimization problem for multi‐agent systems (MASs), considering set constraints. First, we transform the challenging optimization problem from the prescribed‐time ‐domain into the asymptotic time ‐domain through a time‐domain… read more here.

Keywords: time; set constraints; time domain; prescribed time ... See more keywords

Distributed optimization via primal and dual decompositions for delay-constrained FANETs

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recommendations! Published in 2020 at "Ad Hoc Networks"

DOI: 10.1016/j.adhoc.2020.102288

Abstract: Abstract This paper aims to optimize the different network parameters in a distributed manner for delay-constrained flying ad hoc networks (FANETs) without the global network topology information. To this end, each Unmanned Aerial Vehicle (UAV)… read more here.

Keywords: delay constrained; network; distributed optimization; primal dual ... See more keywords

Distributed optimization for scheduling energy flows in community microgrids

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recommendations! Published in 2020 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2020.106479

Abstract: Abstract With the increasing development of grid-connected microgrids predominantly powered by renewable energy sources, their negative impact on the distribution grid cannot be ignored. Whilst this burden is borne by the distribution system operator (DSO),… read more here.

Keywords: scheduling energy; energy; optimization scheduling; congestion management ... See more keywords

Extremum-Seeking Based Distributed Optimization of Heat Exchangers Network

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recommendations! Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.12.057

Abstract: Abstract In this paper we develop a distributed optimization method for a Heat Exchangers Network. The considered network is given by an interconnected hot thermal sources flows and cold consumers flows through counter-current heat exchangers.… read more here.

Keywords: network; exchangers network; heat exchangers; distributed optimization ... See more keywords

Distributed Optimization of Nonlinear Uncertain Systems: An Adaptive Backstepping Design

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.1586

Abstract: Abstract This paper proposes a Lyapunov-based adaptive backstepping approach to distributed optimization of nonlinear uncertain multi-agent systems. The model of each agent is in the strict-feedback form with parametric uncertainties. By only using local objective… read more here.

Keywords: optimization; nonlinear uncertain; adaptive backstepping; optimization nonlinear ... See more keywords
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GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.11.002

Abstract: We address the issue of speeding up the training of convolutional neural networks by studying a distributed method adapted to stochastic gradient descent. Our parallel optimization setup uses several threads, each applying individual gradient descents… read more here.

Keywords: gosgd; deep learning; optimization; distributed optimization ... See more keywords

Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach

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recommendations! Published in 2024 at "IET Renewable Power Generation"

DOI: 10.1049/rpg2.13140

Abstract: The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources for participating in power system ancillary services. This paper constructs a distributed optimization model… read more here.

Keywords: integrated energy; participating voltage; optimization; regulation ... See more keywords

A dual approach for optimal algorithms in distributed optimization over networks

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recommendations! Published in 2021 at "Optimization Methods and Software"

DOI: 10.1080/10556788.2020.1750013

Abstract: We study dual-based algorithms for distributed convex optimization problems over networks, where the objective is to minimize a sum of functions over in a network. We provide complexity bounds for four different cases, namely: each… read more here.

Keywords: algorithms distributed; algorithms; strongly convex; optimization ... See more keywords

Distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies

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recommendations! Published in 2021 at "Chinese Physics B"

DOI: 10.1088/1674-1056/abfb5b

Abstract: This paper addresses the distributed optimization problem of discrete-time multiagent systems with nonconvex control input constraints and switching topologies. We introduce a novel distributed optimization algorithm with a switching mechanism to guarantee that all agents… read more here.

Keywords: time multiagent; multiagent systems; optimization; control ... See more keywords