Suchergebnisse - Distributed control algorithms for solving large-scale optimization problems of networked systems

Distributed Control Algorithms for Solving Large-scale Optimization Problems of Networked Systems

Autoren: Ogwuru, Judith Chemical Engineering Guay, Martin

Weitere Verfasser: Ogwuru, Judith Chemical Engineering Guay, Martin

Schlagwörter: Distributed control, Control algorithms, Large-scale systems, Large-scale optimization, Convex optimization, Networked systems, Extremum seeking control, Newton consensus, Communication networks, Cooperative distributed control, Wind farms, HVAC systems, Uncooperative distributed control, Resource allocation, Distributed algorithms, Distributed optimization, Distributed control algorithms for solving large-scale optimization problems of networked systems

Dateibeschreibung: application/pdf

Relation: Canadian theses; http://hdl.handle.net/1974/31329

Verfügbarkeit: http://hdl.handle.net/1974/31329

Chordal sparsity in control and optimization of large-scale systems

Autoren: Zheng, Yang Papachristodoulou, Antonis

Weitere Verfasser: Zheng, Yang Papachristodoulou, Antonis

Schlagwörter: 629.8, Engineering Science, Control and Optimization

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.770827

Distributed Control Algorithms for Solving Large-scale Optimization Problems of Networked Systems

Autoren: Ogwuru, Judith Chemical Engineering Guay, Martin et al.

Weitere Verfasser: Ogwuru, Judith Chemical Engineering Guay, Martin et al.

Schlagwörter: Distributed control, Newton consensus, Cooperative distributed control, Distributed control algorithms for solving large-scale optimization problems of networked systems, Extremum seeking control, Large-scale optimization, Convex optimization, Distributed optimization, Communication networks, Large-scale systems, Uncooperative distributed control, Wind farms, Networked systems, Distributed algorithms, Control algorithms, Resource allocation, HVAC systems

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/1974/31329

Distributed control of networked systems with coupling constraints.

Alternate Title: Verteilte Regelung von vernetzten Systemen mit Kopplungsbeschränkungen. (German)

Autoren: Liu, Zonglin Stursberg, Olaf

Quelle: Automatisierungstechnik; Dec2019, Vol. 67 Issue 12, p1007-1018, 12p

Schlagwörter: DISTRIBUTED algorithms, COST control, COMPUTATIONAL complexity, CYBER physical systems, INTEGER programming, INFORMATION sharing

Phymastichus–Hypothenemus Algorithm for Minimizing and Determining the Number of Pinned Nodes in Pinning Control of Complex Networks.

Autoren: Lizarraga, Jorge A. Pita, Alberto J. Ruiz-Leon, Javier et al.

Quelle: Algorithms; Oct2025, Vol. 18 Issue 10, p637, 33p

Schlagwörter: OPTIMIZATION algorithms, BIOLOGICALLY inspired computing, CONSTRAINT satisfaction, DYNAMIC stability, NETWORK theory (Statistical physics), CONSTRAINED optimization

A UNIFIED FRAMEWORK FOR CONTINUOUS-TIME UNCONSTRAINED DISTRIBUTED OPTIMIZATION.

Autoren: TOURI, BEHROUZ GHARESIFARD, BAHMAN

Quelle: SIAM Journal on Control & Optimization; 2023, Vol. 61 Issue 4, p2004-2020, 17p

Schlagwörter: OPTIMIZATION algorithms, DISTRIBUTED algorithms, NONLINEAR systems

Distributed estimation and optimization for networked systems: algorithms and convergence analysis

Autoren: Zhaorong Zhang

Schlagwörter: distributed estimation, distributed optimisation, networked control, networked systems

Relation: 1959.13/1509884; https://figshare.com/articles/thesis/Distributed_estimation_and_optimization_for_networked_systems_algorithms_and_convergence_analysis/29032988

Verfügbarkeit: https://figshare.com/articles/thesis/Distributed_estimation_and_optimization_for_networked_systems_algorithms_and_convergence_analysis/29032988

Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review.

Autoren: Kaul, Surabhi Kumar, Yogesh Ghosh, Uttam et al.

Quelle: Multimedia Tools & Applications; Aug2022, Vol. 81 Issue 19, p26779-26801, 23p

Schlagwörter: COMPUTER systems, MATHEMATICAL optimization, EDGE computing, ENERGY consumption, PROBLEM solving, BIOLOGICALLY inspired computing, GRID computing

Comparative Application of Model Predictive Control and Particle Swarm Optimization in Optimum Operation of a Large-Scale Water Transfer System.

Autoren: Javan Salehi, Maryam Shourian, Mojtaba

Quelle: Water Resources Management; 2021, Vol. 35 Issue 2, p707-727, 21p

Schlagwörter: WATER transfer, PARTICLE swarm optimization, REAL-time control, PREDICTION models, PREDICTIVE control systems, RESERVOIRS, ON-chip charge pumps

Geografische Kategorien: MIDDLE East

A review of unmanned vehicle distribution optimization models and algorithms.

Autoren: Jiao Zhao Hui Hu Yi Han et al.

Quelle: Journal of Traffic & Transportation Engineering (English Edition); Aug2023, Vol. 10 Issue 4, p548-559, 12p

Schlagwörter: AUTONOMOUS vehicles, ARTIFICIAL intelligence, COVID-19 pandemic, ALGORITHMS, TRAVEL time (Traffic engineering)

Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization.

Autoren: Farina, Francesco Notarstefano, Giuseppe

Quelle: IEEE Transactions on Automatic Control; Sep2021, Vol. 66 Issue 9, p4000-4014, 15p

Schlagwörter: DISTRIBUTED algorithms, ALGORITHMS, STOCHASTIC matrices, DIRECTED graphs, CLASSIFICATION algorithms, STOCHASTIC systems, HEURISTIC algorithms, APPROXIMATION algorithms, STOCHASTIC processes

Parallel and distributed optimization methods for estimation and control in networks

Autoren: Necoara, Ion Nedelcu, Valentin Dumitrache, Ioan

Quelle: Journal of Process Control. Jun2011, Vol. 21 Issue 5, p756-766. 11p.

Schlagwörter: *PARALLEL processing, *DISTRIBUTED computing, *PARALLEL algorithms, *COMPUTER networks, *CONTROL theory (Engineering), *DUALITY theory (Mathematics), *MATHEMATICAL optimization, *ESTIMATION theory

Solving a system of linear equations: From centralized to distributed algorithms.

Autoren: Wang, Peng Mou, Shaoshuai Lian, Jianming et al.

Quelle: Annual Reviews in Control. 2019, Vol. 47, p306-322. 17p.

Schlagwörter: *LINEAR equations, *LINEAR systems, *DISTRIBUTED algorithms, *PROCESS optimization, *PROBLEM solving

Distributed estimation and optimization for networked systems: algorithms and convergence analysis

Autoren: Zhang, Zhaorong University of Newcastle. College of Engineering, Science & Environment, School of Electrical Engineering and Computing

Weitere Verfasser: Zhang, Zhaorong University of Newcastle. College of Engineering, Science & Environment, School of Electrical Engineering and Computing

Schlagwörter: distributed estimation, distributed optimisation, networked control, networked systems

Relation: University of Newcastle Research Higher Degree Thesis; http://hdl.handle.net/1959.13/1509884; uon:56323

Verfügbarkeit: http://hdl.handle.net/1959.13/1509884

Multiagent Meta-Reinforcement Learning for Adaptive Multipath Routing Optimization.

Autoren: Chen, Long Hu, Bin Guan, Zhi-Hong et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Oct2022, Vol. 33 Issue 10, p5374-5386, 13p

Schlagwörter: MULTIAGENT systems, PARTIALLY observable Markov decision processes, REINFORCEMENT learning

Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays.

Autoren: Latafat, Puya Patrinos, Panagiotis

Quelle: Optimization Methods & Software; Dec2022, Vol. 37 Issue 6, p2052-2079, 28p

Schlagwörter: LINEAR operators, ALGORITHMS, GLOBAL optimization, COST functions, DISTRIBUTED algorithms, MESSAGE passing (Computer science)

Federated Multi-Level Optimization over Decentralized Networks

Autoren: Yang, Shuoguang Zhang, Xuezhou Wang, Mengdi

Index Begriffe: Computer Science - Machine Learning, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2310.06217

A Probabilistically Quantized Learning Control Framework for Networked Linear Systems.

Autoren: Shen, Dong Huo, Niu Saab, Samer S.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Dec2022, Vol. 33 Issue 12, p7559-7573, 15p

Schlagwörter: ITERATIVE learning control, LINEAR systems, LINEAR control systems, BINOMIAL distribution, TELECOMMUNICATION systems

Augmented distributed optimization for networked systems

Autoren: Xu, Jinming Soh Yeng Chai School of Electrical and Electronic Engineering et al.

Weitere Verfasser: Xu, Jinming Soh Yeng Chai School of Electrical and Electronic Engineering et al.

Schlagwörter: Science::Mathematics::Applied mathematics::Optimization [DRNTU], DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering, Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering [DRNTU], DRNTU::Science::Mathematics::Applied mathematics::Optimization, 7. Clean energy

Dateibeschreibung: application/pdf

Zugangs-URL: https://dr.ntu.edu.sg/bitstream/10356/68805/1/PhDthesis_augdopt4nsys_final__Jinming%20Xu_G1102295C.pdf
https://dr.ntu.edu.sg/handle/10356/68805
https://dr.ntu.edu.sg/bitstream/10356/68805/1/PhDthesis_augdopt4nsys_final__Jinming%20Xu_G1102295C.pdf
https://hdl.handle.net/10356/68805

Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems

Autoren: Huiping Li Yang Shi

Resource Type: eBook.

Schlagworte: Robust control

Categories: TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Networking / General, TECHNOLOGY & ENGINEERING / Telecommunications