(PID) CLosed loop control with Neural Network Predictor
Budget: $250 – $750 USD
(PID) Closed Loop Control with Neural Network Predictor
I am looking for a skilled freelancer to develop a closed loop control system with a Neural Network Predictor. The desired output of the system should be accuracy, ensuring precise control of the process.
Control System Requirements:
- Classic PID Control: The client specifically requests a classic PID control system for this project. Therefore, expertise in developing and implementing PID controllers is essential.
- Accuracy: The primary goal of this project is to achieve accurate control of the process. The freelancer should have a strong understanding of control theory and the ability to optimize the PID controller for accuracy.
- Robustness: Although the desired output is accuracy, it is crucial to ensure the system's robustness. The freelancer should have experience in designing control systems that can handle uncertainties and disturbances effectively.
Neural Network-Based Predictor:
- Training Input: The Neural Network predictor will be trained using historical data. The freelancer should be proficient in data analysis and have experience in training neural networks using historical data.
Ideal Skills and Experience:
- Strong knowledge of control theory and expertise in developing and implementing classic PID control systems.
- Experience in optimizing PID controllers for accuracy and robustness.
- Proficiency in data analysis and experience in training neural networks using historical data.
- Good problem-solving
I am looking for a skilled freelancer to develop a closed loop control system with a Neural Network Predictor. The desired output of the system should be accuracy, ensuring precise control of the process.
Control System Requirements:
- Classic PID Control: The client specifically requests a classic PID control system for this project. Therefore, expertise in developing and implementing PID controllers is essential.
- Accuracy: The primary goal of this project is to achieve accurate control of the process. The freelancer should have a strong understanding of control theory and the ability to optimize the PID controller for accuracy.
- Robustness: Although the desired output is accuracy, it is crucial to ensure the system's robustness. The freelancer should have experience in designing control systems that can handle uncertainties and disturbances effectively.
Neural Network-Based Predictor:
- Training Input: The Neural Network predictor will be trained using historical data. The freelancer should be proficient in data analysis and have experience in training neural networks using historical data.
Ideal Skills and Experience:
- Strong knowledge of control theory and expertise in developing and implementing classic PID control systems.
- Experience in optimizing PID controllers for accuracy and robustness.
- Proficiency in data analysis and experience in training neural networks using historical data.
- Good problem-solving
Related categories:
Engineering
Matlab and Mathematica
Machine Learning (ML)
Neural Networks
Control System Design