Weixiang Zhou
Shanghai Jiao Tong University
5 Papers
12 Citations
Weixiang Zhou is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Backstepping & Control theory. The author has an hindex of 4, co-authored 5 publications.
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Papers
Adaptive neural dynamic surface control of MIMO uncertain nonlinear systems with time-varying full state constraints and disturbances
TL;DR: A new compensator is proposed, which combines approximation error based adaptive radial basis function neural networks and nonlinear disturbance observer to improve the compensate performance of unmodeled dynamics and external disturbances.
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Spatial Path Following Control of an Autonomous Underactuated Airship
TL;DR: The closed loop stability for the system is proved using Lyapunov stability theory and the spatial path following control of an autonomous underactuated airship in the presence of model uncertainties and external disturbances is studied.
14
A Fast Convergence Super‐Twisting Observer Design for an Autonomous Airship
Abstract: Airships are often under the risk of external disturbances, for example, the wind. The accurate external disturbance of the airship are hard to acquire. Typically, the super‐twisting observer can track the states for mechanical systems and could be used as an external disturbance tracker. However, the convergence rate of the traditional super‐twisting observer is very slow and the observed states often oscillate heavily. We modified the traditional super‐twisting observer by adding more variables to the sliding surface, and adding parameters to the newly added variables. Simulation results illustrates that the new proposed observer is able to reduce the convergence time and reduce overshoot greatly, improving the performance of the observer.
7
Station-keeping Control of an Underactuated Stratospheric Airship
TL;DR: This paper studies the station-keeping control of underactuated stratospheric airships in the presence of model uncertainties and wind field, and a T–S fuzzy model-based adaptive backstepping SMC (sliding mode controller) is proposed.
A fault detection scheme for airship using dynamic principle components analysis with noise canceling based on Kalman filter
Chang Xiao,Weixiang Zhou,Pingfang Zhou,Dengping Duan,Yueying Wang +4 more
- 01 Nov 2017
TL;DR: This paper considers an airship fault detection method using DPCA and a scheme based on Kalman filter is proposed to lower the influence of sensor noise.