Real-Time Proportional-Integral-Derivative (PID) Tuning Based on Back Propagation (BP) Neural Network for Intelligent Vehicle Motion Control
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Abstract
Over 1.3 million people die annually in traffic accidents, and this tragic fact highlights the urgent need to enhance the intelligence of traffic safety and control systems. In modern industrial and technological applications... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Vehicle Dynamics and Control Systems · Industrial Technology and Control Systems · Advanced Algorithms and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (33)
Show source-provided references
1. A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions10.1109/OJVT.2023.3335180 ↗
2. Neural network-based model reference adaptive control system10.1109/3477.826961 ↗
3. An overview of model predictive control
4. Berenji · An introduction to fuzzy logic applications in intelligent systems · 1992 · 69
5. Intermittent fixed-time fuzzy consensus of nonlinear multiagent systems with unknown control directions and event-based communication10.1109/TFUZZ.2024.3468022 ↗
6. A fuzzy-based proportional-integral–derivative with space-vector control and direct thrust control for a linear induction motor10.3390/electronics12244955 ↗
7. Lyapunov-based adaptive PID controller design for buck converter10.1007/s00500-022-07797-z ↗
8. Polynomial recurrent neural network-based adaptive PID controller with stable learning algorithm10.1007/s11063-022-10989-1 ↗
9. Fuzzy-augmented model reference adaptive PID control law design for robust voltage regulation in DC-DC buck converters10.3390/math12121893 ↗
10. Adaptive fractional order PID controller tuning for brushless DC motor using Artificial Bee Colony algorithm10.1016/j.rico.2021.100032 ↗
11. Robust bipartite tracking consensus of multi-agent systems via neural network combined with extended high-gain observer10.1016/j.isatra.2022.10.015 ↗
12. Real time adaptive PID controller based on quantum neural network for nonlinear systems10.1016/j.engappai.2023.106952 ↗
13. PID control model based on back propagation neural network optimized by adversarial learning-based grey wolf optimization10.3390/app13084767 ↗
14. Li · Advances in computer science and information engineering · 2012 · 553
15. Lightweight dynamic vehicle models oriented to vehicle electrification10.1504/IJVP.2019.097097 ↗
16. Innovative torque-based control strategy for hydrogen internal combustion engine10.1016/j.ijhydene.2024.05.481 ↗
17. A driving assist system for path tracking via active rear-wheel steering
18. Vehicle dynamics and active rollover stability control of an electric narrow three-wheeled vehicle: A review and concern towards improvement10.1080/00423114.2022.2046810 ↗
19. Automatic stability control of three-wheeler vehicles-recent developments and concerns towards a sustainable technology10.1177/0954407017701285 ↗
20. Development of a novel general reconfigurable vehicle dynamics model10.1016/j.mechmachtheory.2020.104147 ↗
21. Learning-rate-free learning by d-adaptation
22. Liao W. Real time bearing fault diagnosis based on convolutional neural network and STM32 microcontroller. arXiv:2304.09100. 2023.
23. Advanced serial communication with FT232RL USB to TTL adapter
24. Power optimization techniques for OLED displays in wearable devices
25. IoT-based environmental monitoring with DHT11 sensor
26. Efficient power management with LM2596 voltage regulators
27. UPISmartHome V.2.0—a consumer product of smart home system with an ESP8266 as the basis10.12720/jcm.17.7.541-552 ↗
28. Design of multi-channel temperature acquisition system based on STM32
29. An improved line following algorithm for autonomous mobile robots using infrared sensors
30. Development of a fire detection system using sensor data and deep learning algorithms
31. Real-time ultrasonic sensor-based obstacle avoidance system for mobile robots
32. Internet of Things (IoT) based sensors to cloud system using ESP8266 and Arduino Due
33. Hatton M. IoT in 2024: trends and predictions. USA: IoT For All; 2024.