Speaker：Dr. Zhong-Ping Jiang, New York University
Topic：Robust Adaptive Dynamic Programming: A New Tool for Data-Driven Adaptive Optimal Control Design
Location：Academic Hall on the third floor of the new No. 9 Teaching Building, School of Power and Mechanical Engineering, WHU
Time：9:30 a.m., Tuesday, June 26th, 2017
Organizer：School of Power and Mechanical Engineering, WHU
Welcome to attend the lecture!
Bellman's Dynamic Programming is a powerful theory for addressing multi-stage decision making problems, and has been used to solve the optimal control problem. However, it suffers from the ‘curse of dimensionality' and the ‘curse of modeling’. In this talk, a new framework of robust adaptive dynamic programming is proposed to relax these two restrictions and used to design a new class of adaptive optimal nonlinear controllers. We will show that robust adaptive dynamic programming (for short, RADP) is also a significant extension of the existing work in approximate/adaptive dynamic programming (ADP) in that the order of the dynamic processes in question is not known. The mismatch between the real plant and the simplified model is called dynamic uncertainty.