Gang Tao mainly investigates Control theory, Adaptive control, Control engineering, Control theory and Actuator. In his research on the topic of Control theory, Lemma is strongly related with Bounded function. He has researched Adaptive control in several fields, including Linear system, Optimal control, Exponential stability, Multivariable calculus and Dead zone.
His study in Control engineering is interdisciplinary in nature, drawing from both Estimation theory, Compensation, Backlash and State. In the field of Control theory, his study on Control synthesis overlaps with subjects such as Parametrization. His primary area of study in Actuator is in the field of Plant.
Gang Tao spends much of his time researching Control theory, Adaptive control, Control engineering, Actuator and Control theory. His is doing research in Compensation, Nonlinear system, Control system, Multivariable calculus and Plant, both of which are found in Control theory. His Adaptive control research includes elements of Linear system, Stability, Discrete time and continuous time, State and Adaptive system.
His work deals with themes such as Estimation theory, Tracking, Exponential stability and Backlash, which intersect with Control engineering. His biological study spans a wide range of topics, including Control reconfiguration, Attitude control, Fault tolerance, Control and Robustness. The various areas that Gang Tao examines in his Control theory study include Reference model and Dead zone.
His main research concerns Control theory, Adaptive control, Actuator, Control and Nonlinear system. His works in Compensation, Multivariable calculus, Backstepping, Lyapunov function and Control theory are all subjects of inquiry into Control theory. The concepts of his Adaptive control study are interwoven with issues in Stability, Artificial neural network, Discrete time and continuous time, State and State.
His studies in Actuator integrate themes in fields like Estimation theory and Control signal. His Control study integrates concerns from other disciplines, such as Hypersonic speed, Separation and Consensus. His research in Nonlinear system intersects with topics in Fuzzy control system, Fuzzy logic, Parameterized complexity and Robustness.
Gang Tao mostly deals with Control theory, Adaptive control, Compensation, Actuator and Control. His studies deal with areas such as Fault tolerance and State as well as Control theory. His research integrates issues of Linear differential equation, Hypersonic speed, Control engineering and Reliability in his study of Fault tolerance.
The Adaptive control study combines topics in areas such as State, Multivariable calculus and System dynamics. His study looks at the relationship between Compensation and topics such as Adaptive system, which overlap with Function. His work carried out in the field of Control theory brings together such families of science as Upper and lower bounds and Piecewise.
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Adaptive Control Design and Analysis
Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms*
Chenyang Lu;John A. Stankovic;Gang Tao;Sang H. Son.
Real-time Systems (2001)
Adaptive Control of Systems with Actuator and Sensor Nonlinearities
Gang Tao;Petar V. Kokotovic.
Adaptive control of plants with unknown hystereses
G. Tao;P.V. Kokotovic.
IEEE Transactions on Automatic Control (1995)
Adaptive state feedback and tracking control of systems with actuator failures
G. Tao;S.M. Joshi;X. Ma.
IEEE Transactions on Automatic Control (2001)
Adaptive control of plants with unknown dead-zones
Gang Tao;P.V. Kokotovic.
IEEE Transactions on Automatic Control (1994)
Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV
Fuyang Chen;Rongqiang Jiang;Kangkang Zhang;Bin Jiang.
IEEE Transactions on Industrial Electronics (2016)
Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application
Xidong Tang;Gang Tao;Suresh M. Joshi.
The case for feedback control real-time scheduling
J.A. Stankovic;Chenyang Lu;S.H. Son;Gang Tao.
euromicro conference on real time systems (1999)
Adaptive Control of Systems with Actuator Failures
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