Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
An Adaptive Neuro-Fuzzy Inference System Controller Trained by an Explicit Model Predictive Controller for Adaptive Cruise Control Systems Under Varying Road Friction Conditions
Saved in:
| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: An Adaptive Neuro-Fuzzy Inference System Controller Trained by an Explicit Model Predictive Controller for Adaptive Cruise Control Systems Under Varying Road Friction Conditions
- Reinforcement Learning-Based Event-Triggered Neural Networks Adaptive Fault-Tolerant Optimal Control for Stochastic Nonlinear Systems
- Adaptive PID Control for Low-Cost Embedded Agricultural Machinery Actuators Under Uncertain Environments
- CrediBLE: A Credit-Based Adaptive Flow Control Architecture for Bluetooth Low-Energy Gateways
- An Adaptive Model Predictive Control Scheme for Two-Stage Single-Phase Grid-Connected Photovoltaic System Using Variable Forgetting Factor Recursive Least Squares Estimator
- Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System
- Self-Adaptive Energy-Aware Power Management for CubeSat Electrical Power Systems Under Dynamic Orbital Conditions