2019 - Fellow of the American Academy of Arts and Sciences
2019 - Member of the National Academy of Engineering For contributions to design tools for safety-focused control of cyberphysical systems.
2017 - Fellow of the International Federation of Automatic Control (IFAC)
2016 - Fellow of the Indian National Academy of Engineering (INAE)
2006 - Fellow of the MacArthur Foundation
Claire J. Tomlin focuses on Control theory, Control engineering, Hybrid system, Mathematical optimization and Reachability. Her research in Optimal control, Trajectory, Nonlinear system, Control theory and Dynamical systems theory are components of Control theory. Claire J. Tomlin combines subjects such as Flight management system, Collision avoidance, Vehicle dynamics, Testbed and Robustness with her study of Control engineering.
Her studies in Hybrid system integrate themes in fields like Control system, Control, Air traffic control and Automata theory. Her Mathematical optimization study integrates concerns from other disciplines, such as Convergence, Viscosity solution and Motion planning. Claire J. Tomlin has included themes like Discrete system, State space and Bounded function in her Reachability study.
The scientist’s investigation covers issues in Mathematical optimization, Control theory, Reachability, Hybrid system and Control theory. Optimal control is the focus of her Mathematical optimization research. In her research, Testbed is intimately related to Control engineering, which falls under the overarching field of Control theory.
Her Reachability study combines topics in areas such as Bounded function, State space, Artificial intelligence and Hamilton–Jacobi equation. As a part of the same scientific family, Claire J. Tomlin mostly works in the field of Hybrid system, focusing on Air traffic control and, on occasion, Simulation. As part of her studies on Control theory, she often connects relevant areas like Reinforcement learning.
Claire J. Tomlin spends much of her time researching Mathematical optimization, Robot, Reachability, Control theory and Optimal control. Her studies deal with areas such as Differential, Quadratic equation, Markov decision process and State as well as Mathematical optimization. Her biological study spans a wide range of topics, including Dynamical system, Computation, Distributed computing and Trajectory.
Her work on Control theory is typically connected to Control-Lyapunov function as part of general Control theory study, connecting several disciplines of science. As a member of one scientific family, Claire J. Tomlin mostly works in the field of Control theory, focusing on Reinforcement learning and, on occasion, Feedback linearization and Nonlinear system. Her Optimal control research incorporates elements of Dimension, Dynamical systems theory, Computational complexity theory, Recursion and Obstacle avoidance.
Her primary areas of study are Control theory, Reachability, Control theory, Optimal control and Mathematical optimization. Disturbance and Hybrid system are among the areas of Control theory where the researcher is concentrating her efforts. She combines subjects such as Variety, Distributed computing and Hamilton–Jacobi equation with her study of Reachability.
Her Control theory study also includes fields such as
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Conflict resolution for air traffic management: a study in multiagent hybrid systems
C. Tomlin;G.J. Pappas;S. Sastry.
IEEE Transactions on Automatic Control (1998)
Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment
Gabriel M. Homann;Haomiao Huang;Steven L. Waslander;Claire J. Tomlin.
AIAA Guidance, Navigation and Control Conference and Exhibit (2007)
A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games
I.M. Mitchell;A.M. Bayen;C.J. Tomlin.
IEEE Transactions on Automatic Control (2005)
Controllers for reachability specifications for hybrid systems
John Lygeros;Claire Tomlin;Shankar Sastry.
A game theoretic approach to controller design for hybrid systems
C.J. Tomlin;J. Lygeros;S. Shankar Sastry.
Proceedings of the IEEE (2000)
Decentralized overlapping control of a formation of unmanned aerial vehicles
DušAn M. Stipanović;GöKhan Inalhan;Rodney Teo;Claire J. Tomlin.
Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering
Haomiao Huang;Gabriel M. Hoffmann;Steven L. Waslander;Claire J. Tomlin.
international conference on robotics and automation (2009)
The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC)
G. Hoffmann;D.G. Rajnarayan;S.L. Waslander;D. Dostal.
document analysis systems (2004)
Computational techniques for the verification of hybrid systems
C.J. Tomlin;I. Mitchell;A.M. Bayen;M. Oishi.
Proceedings of the IEEE (2003)
Quadrotor Helicopter Trajectory Tracking Control
Gabriel Hoffmann;Steven Waslander;Claire Tomlin.
AIAA Guidance, Navigation and Control Conference and Exhibit (2008)
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