C
Chengwei Wu
Researcher at Harbin Institute of Technology
Publications - 44
Citations - 3328
Chengwei Wu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Fuzzy logic & Control theory. The author has an hindex of 19, co-authored 34 publications receiving 2509 citations. Previous affiliations of Chengwei Wu include Bohai University & Hong Kong Polytechnic University.
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Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
TL;DR: An adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint is presented, and the simulation results reveal the effectiveness of the proposed approach.
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Control of Nonlinear Networked Systems With Packet Dropouts: Interval Type-2 Fuzzy Model-Based Approach
TL;DR: A novel fuzzy state-feedback controller is designed to guarantee the resulting closed-loop system to be stochastically stable with an optimal performance and to make the controller design more flexible, the designed controller does not need to share membership functions and amount of fuzzy rules with the model.
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Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach
TL;DR: In order to overcome the difficulty of controller design for nonstrict-feedback system in backstepping design process, a variables separation method is introduced and an adaptive fuzzy controller is designed to guarantee all the signals of the resulting closed-loop system to be bounded.
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Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone
TL;DR: The adaptive backstepping control method and Lyapunov stability theory are used to prove the proposed controller can ensure all the signals in the systems are semiglobally uniformly ultimately bounded, and the output of the systems can track the reference signal closely.
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Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
TL;DR: The problem of fuzzy observer-based controller design is investigated for nonlinear networked control systems subject to imperfect communication links and parameter uncertainties and the proposed method can ensure that the resulting closed-loop system is stochastically stable with the predefined disturbance attenuation performance.