Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.

An Off-policy Reinforcement Learning Algorithm for Optimal Tracking Control Problem

This is the Github repository for a fault tolerant optimal ZNN controller with state constraints and precribed performance constraints described in the paper title "A Provably Constrained Neural Control Architecture With Prescribed Performance for Fault-Tolerant Redundant Manipulators

This code replicates the numerical simulations reported in the research paper entitled "Optimal time-invariant distributed formation tracking for second-order multi-agent systems"