Control Allocation Professors in Global

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Technical University of Berlin Germany
control allocation
distributed control
control theory
flow control
flight control
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Mojtaba Ahmadi
Carleton University Canada
control
distributed control
real-time control
linear control
nonlinear control
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Zhan Shu
University of Alberta Canada
learning-based control
control of mobile robots
control systems
networked control
distributed systems control
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Hongyang Dong
University of Warwick United Kingdom
optimal control
control theories
adaptive control
intelligent control
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Maurice Heemels
Eindhoven University of Technology Belgium
resource-aware control
control theory
networked control
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Michael Fisher
University of Waterloo Canada
distributed control
optimal control
nonlinear control
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Michael Fisher
University of Waterloo Canada
distributed control
optimal control
nonlinear control
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John Mcarthur
University of Southern California United States of America
controls
optimal controls
adaptive controls
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Boris Lohmann
Technical University of Munich Germany
control theory
predictive control
adaptive control
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Aaron Tong
University of British Columbia Canada
process control
predictive control
adaptive control
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Quan Nguyen
University of Southern California United States of America
control optimization
real-time optimization-based control
nonlinear control
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Roberto Horowitz
University of California, Berkeley United States of America
learning control
adaptive control
nonlinear control
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Shahab Heshmati-alamdari
Aalborg University Denmark
cooperative control
constrained planning & control
data-driven control
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Shichao Liu
Carleton University Canada
control
distributed control
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Bahare Kiumarsi
Michigan State University United States of America
control
distributed control
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Tom Groot
Vrije Universiteit Amsterdam Netherlands
control
management control
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Antonio Franchi
University of Twente Netherlands
control
decentralized control
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Ryke Longest
Duke University Singapore
resource allocation
natural resource allocation
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Ziv Scully
Cornell University Netherlands
resource allocation
stochastic control
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Ziv Scully
Cornell University Netherlands
resource allocation
stochastic control
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John Vande Vate
Georgia Institute of Technology United States of America
resource allocation
optimal control
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