#job #interview #vacancy
Searching for Machine learning engineer for the marine control.
Salary - 2000$/week, 6000-8000$/month
Contacts: @infatum
For the research of ship course control, the basic algorithms used include proportion integral derivative (PID), fuzzy logic control, predictive control, sliding mode control, active disturbance rejection controller (ADRC) and artificial intelligence (AI) algorithms, etc.
On this basis, the improved course control effect is achieved through algorithm improvement. For example, neural network (NN) and ant colony algorithm (ACA) are used in PID parameter optimization. Particle swarm optimization (PSO) and genetic algorithm (GA) are applied to fuzzy controller parameter optimization. The firefly algorithm (FA) is applied to backstepping control for parameter optimization.
Improvements are made to the basic algorithm itself, such as the fractional-order PID controller and the ADRC algorithm in the ship course control. For AI technology, research on deep reinforcement learning (DRL) algorithm applied to course control of underactuated ships.
In addition, the prediction algorithm combined with the sliding mode algorithm or the neural network algorithm, the fuzzy control algorithm combined with the sliding mode algorithm or the neural network algorithm, ADRC combined with the fuzzy control or support vector machine (SVM) also have better control of the course of different types of ships under different conditions.
Searching for Machine learning engineer for the marine control.
Salary - 2000$/week, 6000-8000$/month
Contacts: @infatum
For the research of ship course control, the basic algorithms used include proportion integral derivative (PID), fuzzy logic control, predictive control, sliding mode control, active disturbance rejection controller (ADRC) and artificial intelligence (AI) algorithms, etc.
On this basis, the improved course control effect is achieved through algorithm improvement. For example, neural network (NN) and ant colony algorithm (ACA) are used in PID parameter optimization. Particle swarm optimization (PSO) and genetic algorithm (GA) are applied to fuzzy controller parameter optimization. The firefly algorithm (FA) is applied to backstepping control for parameter optimization.
Improvements are made to the basic algorithm itself, such as the fractional-order PID controller and the ADRC algorithm in the ship course control. For AI technology, research on deep reinforcement learning (DRL) algorithm applied to course control of underactuated ships.
In addition, the prediction algorithm combined with the sliding mode algorithm or the neural network algorithm, the fuzzy control algorithm combined with the sliding mode algorithm or the neural network algorithm, ADRC combined with the fuzzy control or support vector machine (SVM) also have better control of the course of different types of ships under different conditions.