基于双参数自适应优化的无人履带车辆轨迹跟踪控制

Engineering

• Time Domain 100%
• Particle Swarm Optimization 100%
• Perceptron 100%
• Fixed Parameter 100%
• Actual Vehicle 100%
• Change Rate 50%
• Feedback Information 50%
• Test Result 50%
• Feature Vector 50%
• Adaptability 50%
• Optimal Control 50%
• Multi-Layer Perceptron Neural Network Model 50%
• Test Vehicle 50%
• Tracking Algorithm 50%
• State Feedback 50%
• Angles of Rotation 50%
• Electric Drives 50%
• Step Length 50%
• Parameter Data 50%

Computer Science

• Perceptron Algorithm 33%