Adaptive strategy for fault detection, isolation and reconstruction of aircraft actuators and sensors. - Muhammad Taimoor; Aijun Li (J. Intell. Fuzzy Syst., 2020)

Lyapunov Theory Based Adaptive Neural Observers Design for Aircraft Sensors Fault Detection and Isolation. - Muhammad Taimoor; Aijun Li (J. Intell. Robotic Syst., 2020)

Sliding mode learning algorithm based adaptive neural observer strategy for fault estimation, detection and neural controller of an aircraft. - Muhammad Taimoor; Aijun Li; Muhammad Samiuddin (J. Ambient Intell. Humaniz. Comput., 2021)

Novel neural observer based fault estimation, reconstruction and fault-tolerant control scheme for nonlinear systems. - Muhammad Taimoor; Xiao Lu 003; Wasif Shabbir; Chunyang Sheng; Muhammad Samiuddin (J. Intell. Fuzzy Syst., 2021)

Global fast terminal sliding mode based radial basis function neural network for accurate fault estimation in nonlinear systems. - Wasif Shabbir; Aijun Li; Muhammad Taimoor; Yuwei Cui (J. Intell. Fuzzy Syst., 2022)

Attitude tracking control design of fixed-wing UAVs having uncertain dynamics and corrupted gyro sensor outputs. - Wasif Shabbir; Aijun Li; Muhammad Taimoor; Yuwei Cui (J. Intell. Fuzzy Syst., 2023)

A novel fault diagnosis in sensors of quadrotor unmanned aerial vehicle. - Muhammad Taimoor; Xiao Lu 003; Hamid Maqsood; Chunyang Sheng (J. Ambient Intell. Humaniz. Comput., 2023)

Neural network observer based on fuzzy auxiliary sliding-mode-control for nonlinear systems. - Muhammad Taimoor; Xiao Lu 003; Wasif Shabbir; Chunyang Sheng (Expert Syst. Appl., 2024)