Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi–Sugeno Fuzzy Models
By Bin Jiang, Zhifeng Gao, Peng Shi, Yufei Xu. IEEE transactions on fuzzy systems, 2010
379 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f9eed95f150ce962675d08dce01e1ddefded20ac
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In Control and Systems Engineering
Citations in the corpus
- Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults (2014, methodology): “The decision algorithm is thus more practical than in other works as [30] and [31]; 4) the proposed FTC scheme can minimize TDDTFD and reduce the adverse effect on the system performance.”
- Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System (2016, neutral): “In [37], an adaptive fault-tolerant tracking”
- Nonlinear-Disturbance-Observer-Based Robust Flight Control for Airbreathing Hypersonic Vehicles (2013, background): “as adaptive control [9, 13], sliding mode control [14], robust control [15], and fault tolerant control [16, 17] are integrated to achieve desired control specifications, such as robust command tracking, specified disturbance attenuation, and satisfactory fault handling.”
- Robust Observer Design for Unknown Inputs Takagi–Sugeno Models (2013, background): “However, it is well known that state estimation for dynamic systems with unknown inputs or disturbances is an interesting research topic in the field of robust control, system supervision, and fault-tolerant control [17]–[19], [38], [39].”