Hierarchical adaptive genetic algorithm based T–S fuzzy controller for non-linear automotive applications
EM Abdelrahim - International Journal of Fuzzy Systems, 2022 - Springer
In this paper, a robust and enhanced evolutionary computing assisted Takagi Sugeno (T–S)
fuzzy controller was developed for automotive fuel injection control. To augment the rule …
fuzzy controller was developed for automotive fuel injection control. To augment the rule …
Robust fault estimation for Takagi‐Sugeno fuzzy systems with state time‐varying delay
F You, S Cheng, X Zhang… - International Journal of …, 2020 - Wiley Online Library
This paper deals with the problem of H∞ robust fault estimation for a class of Takagi‐
Sugeno (T‐S) fuzzy systems with state time‐varying delay, sensor, and actuator faults. The …
Sugeno (T‐S) fuzzy systems with state time‐varying delay, sensor, and actuator faults. The …
Binary particle swarm optimization-based TS fuzzy predictive controller for nonlinear automotive application
EM Abdelrahim - Neural Computing and Applications, 2021 - Springer
In this paper, a robust evolutionary computing-assisted Takagi–Sugeno fuzzy predictive
controller (TS FPC) has been developed for nonlinear vehicle fuel injection and emission …
controller (TS FPC) has been developed for nonlinear vehicle fuel injection and emission …
Sampled-data control for polynomial fuzzy systems with time-varying delay
In this paper, we investigate the sampled-data control problem for polynomial sampled-data
fuzzy system with time-varying delay. Based on sampled-data technique, a fuzzy controller is …
fuzzy system with time-varying delay. Based on sampled-data technique, a fuzzy controller is …