Constrained Control Methods Professors in Global

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John Mcarthur
University of Southern California United States of America
experimental methods
adaptive controls
model predictive controls
optimal controls
controls
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John Anderson
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
behavioral methods
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Maurice Heemels
Eindhoven University of Technology Belgium
control theory
networked control
resource-aware control
model predictive control
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Zhan Shu
University of Alberta Canada
learning-based control
networked control
control systems
distributed systems control
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Eric Rogers
University of Southampton United Kingdom
constrained control methods
learning control
control systems theory
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Pierre Flener
Uppsala University Sweden
constraint programming
constraint modeling
constraint solving
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Asaf Cohen
University of Michigan United States of America
control theory
stochastic control problems
risk-sensitive control
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Arunava Naha
Linköping University Sweden
probabilistic constraints
control theory
networked control
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Mark Cannon
University of Oxford United Kingdom
systems constraints
control optimization
stochastic model predictive control
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Dave Touretzky
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Caleb Pomeroy
University of Toronto Canada
computational methods
experimental methods
statistical methods
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Camillo Taylor
University of Pennsylvania United States of America
data-driven control algorithms
perception-based control
learning control systems
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Boris Lohmann
Technical University of Munich Germany
control theory
predictive control
adaptive control
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Harold Kushner
Brown University United States of America
stochastic control
optimization methods
approximation methods
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
behavioral methods
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
numerical optimization methods
model predictive control
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Valeri Ougrinovski
University of New South Wales Australia
stochastic control theory
distributed control estimation
mathematical control systems theory
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Mohamad Shahab
Toronto Metropolitan University Canada
control theory
adaptive control
control & optimization
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Nicolas Hudon
Queen's University Canada
distributed control
nonlinear control
physics-based control
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Tim Colonius
California Institute of Technology United States of America
immersed-boundary methods
numerical methods
reduced-order modeling
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