Optimal Distributed Control Professors in Global

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Dengfeng Sun
Purdue University United States of America
distributed control
optimal resource management
resilient network control optimization
optimization
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Zhengtao Ding
University of Manchester United Kingdom
distributed optimisation
distributed machine learning
adaptive control systems
control of network-connected dynamic systems
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Branislav Hredzak
University of New South Wales Australia
power systems control optimization
control management of distributed renewable energy resources
distributed energy systems
advanced control systems
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Michael Cantoni
University of Melbourne Australia
optimal control
distributed control
robust control
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John Simpson-porco
University of Waterloo Canada
optimal control
distributed control systems
decentralized control systems
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Eduardo Gildin
Texas A&M University United States of America
optimal control
control optimization
production optimization
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John Mcarthur
University of Southern California United States of America
optimal controls
optimal estimation
adaptive controls
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Hongyang Dong
University of Warwick United Kingdom
optimal control
intelligent control
adaptive control
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Alcherio Martinoli
École Polytechnique Fédérale de Lausanne Switzerland
distributed control estimation
distributed robotics
distributed intelligent systems
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Ali Jadbabaie
Massachusetts Institute of Technology United States of America
optimal control
optimization
robust control
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Zhan Shu
University of Alberta Canada
distributed systems control
networked control
learning-based control
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Subhrakanti Dey
Uppsala University Sweden
distributed optimization
distributed machine learning
networked control systems
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Mojtaba Ahmadi
Carleton University Canada
distributed control
real-time control
linear control
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
optimal power flow
power system optimization
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Tobias Oechtering
KTH Royal Institute of Technology Sweden
optimal algorithmic designs
networked control
optimal decision strategies
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Rahim Rahmani
Stockholm University Sweden
distributed systems
distributed intelligence
distributed data processing
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Axel Ringh
University of Gothenburg Sweden
inverse optimal control
optimal transport
robust control
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Fernando Pedone
Università della Svizzera italiana Switzerland
dependable distributed systems
distributed algorithms
distributed data management systems
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George Papavassilopoulos
University of Southern California United States of America
decentralized adaptive control
optimization
robust control
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Joseph Moore
Johns Hopkins University United States of America
computational control
optimization
learning-based control
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Agnes D’entremont
University of British Columbia Canada
adaptive control
distributed parameter systems
predictive control
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