Control Theoretic Tools Professors in Global

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Zhan Shu
University of Alberta Canada
control systems
learning-based control
networked control
control of mobile robots
control-theoretic perspective in biological systems
distributed systems control
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Mojtaba Ahmadi
Carleton University Canada
real-time control
control
distributed control
nonlinear control
linear control
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Maurice Heemels
Eindhoven University of Technology Belgium
control theory
networked control
model predictive control
resource-aware control
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Joaquin Carrasco Gomez
University of Manchester United Kingdom
control theory
nonlinear control theory
control applications
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Eric Rogers
University of Southampton United Kingdom
control systems theory
learning control
constrained control methods
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Donald Ballance
University of Glasgow United Kingdom
control theory
control systems
model predictive control
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Boris Lohmann
Technical University of Munich Germany
control theory
predictive control
adaptive control
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Rebbecca Thien
Australian National University Australia
control theory applications
distributed control theory
quantum control theory
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Jun Liu
University of Waterloo Canada
control theory
learning dynamics control
formal methods for control design
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Jing Sun
University of Michigan United States of America
control algorithm development
adaptive control theory
control system rapid prototyping
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Masayoshi Tomizuka
University of California, Berkeley United States of America
control systems theory
digital control
adaptive control
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Christopher Nielsen
University of Waterloo Canada
controls precision tooling
geometric control
nonlinear control systems
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Shichao Liu
Carleton University Canada
control
distributed control
nonlinear system control
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Roberto Horowitz
University of California, Berkeley United States of America
learning control
nonlinear control
adaptive control
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John Mcarthur
University of Southern California United States of America
controls
model predictive controls
adaptive controls
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Aaron Tong
University of British Columbia Canada
predictive control
process control
adaptive control
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Quan Nguyen
University of Southern California United States of America
control
nonlinear control
real-time optimal control
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Hector Budman
University of Waterloo Canada
modeling control
process control
model predictive control
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Nicolas Hudon
Queen's University Canada
physics-based control
distributed control
nonlinear control
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Behçet Açikmeşe
University of Washington United States of America
control
distributed control systems
model predictive control
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Camillo Taylor
University of Pennsylvania United States of America
learning control systems
data-driven control algorithms
perception-based control
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