◕ Multi-Source Data Fusion and Optimal Control in Intelligent Algorithms and Systems

1. Multi-sensor data fusion and intelligent perception technologies

2. Adaptive and robust control algorithm design

3. Machine learning and deep learning applications in system optimization

4. Intelligent recognition and monitoring based on optical and other sensor data

5. Reinforcement learning-driven intelligent control strategies

6. State estimation and fault diagnosis in intelligent systems

7. Distributed control and cooperative multi-agent systems

8. Intelligent decision support systems and dynamic optimization methods

◕ Intelligent Control and Automation Systems

1. Sensing technologies and data acquisition in intelligent control systems

2. Applications of optical sensors and optoelectronic devices in control systems

3. Real-time fault detection and predictive maintenance techniques

4. Intelligent control methods for high-precision actuators

5. Intelligent control and stability analysis of nonlinear systems

6. Adaptive control and optimization design based on sensor data

7. Control technologies in intelligent manufacturing and robotic systems

8. Hardware-software co-design and implementation of control systems