Optimal Tracking Control of Uncertain Nonlinear Systems Using Simplified Reinforcement Learning.

This article investigates the optimal tracking control problem for high-order uncertain nonlinear systems by developing a simplified reinforcement learning (RL) framework with minimal neural networks (NNs). In contrast to conventional RL-based scheme…

Preview only. Read the full abstract at the source