Intro; Preface; Contents; Hinfty Tracking Control for Unknown Nonlinear System Based on Augmented Matrix Algorithm; 1 Introduction; 2 Hinfty Tracking Problem; 3 Identifier NN Design; 4 System Augmentation and Hinfty Control Design; 4.1 System Augmentation; 4.2 HJI Equation; 4.3 Critic NN for Hinfty Control; 5 Simulation Results; 6 Conclusions; References; 2 A PSO-Based Integer Programming Solution to Impulsive-Correction Projectile Systems; Abstract; 1 Introduction; 2 Problem Statement; 2.1 Impulsive Control Dynamic Model; 2.2 Objective Function; 2.3 Flight Constraints

3 PSO-Based Integer Programming Design3.1 Basic PSO Method; 3.2 Modified PSO-Based Solution to Integer Programming System; 4 Experimental Simulation; 5 Conclusions; Acknowledgements; 3 Gas Plume Tracking of Micro-aerial Vehicle in Tunnel Environment; Abstract; 1 Introduction; 2 Aerial Vehicle System; 2.1 The Framework of Aerial Vehicle; 2.2 Ultrasonic Environment Perception System; 2.3 Gas Detection System; 2.4 Dynamic Modeling; 3 Flight Strategies; 3.1 Three-Dimensional Wall-Following Navigation Algorithm; 3.2 Gas Plume Tracking Algorithm; 3.3 Integration of Navigation Algorithms

4 Experiment5 Conclusion; Acknowledgements; References; 4 A Review of Current Condition Monitoring and Fault Diagnosis Methods for Slewing Bearings; Abstract; 1 Introduction; 2 The Structural Features and the Main Faults of Large Slewing Bearings; 2.1 The Structural Features of Large Slewing Bearings; 2.2 The Main Faults of Large Slewing Bearings; 3 The Development of Condition Monitoring and Fault Diagnosis Methods for Large Slewing Bearings; 3.1 Stage I. Monitoring and Diagnosis Based on Human Experience; 3.2 Stage II. Monitoring and Diagnosis Based on Measurement Equipment

3.3 Stage II. Monitoring and Diagnosis Based on Measurement Equipment4 The Development of Condition Monitoring and Fault Diagnosis Methods for Large Slewing Bearings; 4.1 Condition Monitoring and Fault Diagnosis Based on Vibration Analysis; 4.2 Condition Monitoring and Fault Diagnosis Based on AE Technique; 4.3 Condition Monitoring and Fault Diagnosis Based on Oil Condition; 4.4 Condition Monitoring and Fault Diagnosis Based on Temperature Variation; 5 Current Needs and Challenges of the Studies; 6 Conclusion; Acknowledgements; References

5 Research on Torque Optimization Allocation Strategy About Multi-wheel VehiclesAbstract; 1 Introduction; 1.1 Multi-wheel Drive Vehicle Dynamics Model; 1.2 Dynamic Optimization Distribution of Torque; 1.3 Dynamic Optimization Distribution of Control; 1.4 Optimization Algorithm; 1.5 Simulation Results and Analysis; 2 Models and Algorithm; 2.1 Suspension Dynamics Model; 2.2 Body Dynamics Model; 2.3 Dynamic Optimization Distribution of Torque; 2.4 Dynamic Optimization Distribution of Control; 2.5 Control Efficiency Matrix; 2.6 Optimize Objective Function; 2.6.1 Control Allocation Error