Time-Varying Constrained Optimization and Robot Optimal Control A Neurodynamic Approach with NCP Functions

Section I Time-Varying Constrained Optimization  1. Preliminary Theory  2. TVCO Solvers  Section II Optimal Control of Serial Robots  3. Predefined-Time Convergent Solution to Repetitive Motion Planning  4. Strictly Predefined-Time Convergent Solution to Repetitive Motion Planning  5. Acceleration-Level Solution to Obstacle Avoidance  6. Position-Level Solution to Obstacle Avoidance  7. maxQ-Function-Based Solution to Pose Control  8. Lower-Dimension NCP-EDNN for Pose Control  9. Infinity-Norm Velocity Minimization  10. Vision-Based Control with Safety Constraints  Section III Optimal Control of Parallel Robots  11. Evtushenko-Purtov Function Based Solution  12. Unification and Comparison of NCP functions Based Solutions

Biography

Weibing Li is currently an associate professor with the School of Computer Science and Engineering, Sun Yat-sen University. His research interests include robotics and neural networks. He has published more than 130 papers in journals, including IEEE TNNLS, IEEE TMECH, IEEE TSMC, IEEE TCYB, and more.

Yehui Li is currently a postdoctoral fellow with the School of Computer Science and Engineering, Sun Yat-sen University. His research interests include robotics and neural networks. He has published more than 30 papers in journals, including IEEE TMECH, IEEE TSMC, IEEE TBME, IEEE TIM, and more.

Kai Huang is currently a full professor with the School of Computer Science and Engineering, Sun Yat-sen University. His research interests include robotics and real-time systems. He has published more than 100 papers, including Science Robotics, Nature Machine Intelligence, International Journal of Robotics Research, and more.

Yongping Pan is currently a full professor with the School of Automation, Southeast University. His research interests include automatic control and machine learning for robotics. He has authored or co-authored over 200 peer-reviewed academic papers, including IEEE TRO, IEEE TAC, IEEE TNNLS, and more.