His primary scientific interests are in Adaptive control, Control theory, Control theory, Control engineering and Control system. His Adaptive control research is multidisciplinary, incorporating elements of Closed-loop transfer function and Flight test. While the research belongs to areas of Control theory, Chengyu Cao spends his time largely on the problem of Artificial neural network, intersecting his research to questions surrounding Nonlinear system.
His biological study spans a wide range of topics, including Missile guidance, Missile, Uniform boundedness and Robustness. His work on Autopilot is typically connected to Adaptation as part of general Control engineering study, connecting several disciplines of science. His Control system study incorporates themes from Backstepping, Waypoint and System dynamics.
Chengyu Cao focuses on Control theory, Adaptive control, Control theory, Control engineering and Nonlinear system. The study incorporates disciplines such as Tracking and Bounded function in addition to Control theory. Chengyu Cao has included themes like Control system, Aerodynamics, Transient response, Flight test and Robustness in his Adaptive control study.
As part of the same scientific family, Chengyu Cao usually focuses on Control theory, concentrating on Uniform boundedness and intersecting with Robotic arm. His Control engineering research integrates issues from Artificial neural network and Control. His Nonlinear system study combines topics in areas such as Stability, Convergence, Mathematical optimization and Lipschitz continuity.
His primary areas of investigation include Control theory, Nonlinear system, Adaptive control, Control theory and Optical fiber. Chengyu Cao performs multidisciplinary study in the fields of Control theory and Transient via his papers. His work deals with themes such as Observer, Multi-agent system and Multivariable calculus, which intersect with Nonlinear system.
His Adaptive control research is within the category of Control engineering. His Control engineering research is multidisciplinary, relying on both Computer simulation and Control signal. Chengyu Cao has researched Control theory in several fields, including Theory of computation, Linear programming, Mathematical optimization, Efficient algorithm and Stability conditions.
Chengyu Cao spends much of his time researching Control theory, Nonlinear system, Adaptive control, Multivariable nonlinear system and Output feedback. His work in the fields of Control theory, such as Control theory and Online optimization, intersects with other areas such as Uniform consensus. His Control theory research incorporates themes from Linear programming, Stability, Multivariable calculus and Stability conditions.
His work carried out in the field of Nonlinear system brings together such families of science as Control engineering, Dead time, Ode and Robustness. The Robustness study combines topics in areas such as Filter, High-gain antenna, Observer, Separation principle and Lipschitz continuity. While working in this field, Chengyu Cao studies both Adaptive control and Polynomial interpolation.
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L1 adaptive control theory : guaranteed robustness with fast adaptation
Naira Hovakimyan;Chengyu Cao.
(2010)
Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance
Chengyu Cao;N. Hovakimyan.
IEEE Transactions on Automatic Control (2008)
Design and Analysis of a Novel L1 Adaptive Controller, Part I: Control Signal and Asymptotic Stability
Chengyu Cao;N. Hovakimyan.
american control conference (2006)
$\mathcal {L}_1$ Adaptive Control for Safety-Critical Systems
Naira Hovakimyan;Chengyu Cao;Evgeny Kharisov;Enric Xargay.
IEEE Control Systems Magazine (2011)
Design and Analysis of a Novel L1 Adaptive Controller, Part II: Guaranteed Transient Performance
Chengyu Cao;N. Hovakimyan.
american control conference (2006)
Stability Margins of ${\cal L}_{1}$ Adaptive Control Architecture
Chengyu Cao;N. Hovakimyan.
IEEE Transactions on Automatic Control (2010)
Path Following for Small Unmanned Aerial Vehicles Using L1 Adaptive Augmentation of Commercial Autopilots
Isaac Kaminer;Antonio Pascoal;Enric Xargay;Naira Hovakimyan.
Journal of Guidance Control and Dynamics (2010)
L1 Adaptive Output-Feedback Controller for Non-Strictly-Positive-Real Reference Systems: Missile Longitudinal Autopilot Design
Chengyu Cao;Naira Hovakimyan.
Journal of Guidance Control and Dynamics (2009)
Guaranteed Transient Performance with L1 Adaptive Controller for Systems with Unknown Time-varying Parameters and Bounded Disturbances: Part I
Chengyu Cao;N. Hovakimyan.
american control conference (2007)
${\cal L}_1$ Adaptive Output Feedback Controller for Systems of Unknown Dimension
Chengyu Cao;N. Hovakimyan.
IEEE Transactions on Automatic Control (2008)
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