Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
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Updated
Nov 24, 2025 - MATLAB
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
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
A Novel Off-policy Reinforcement Learning Algorithm for Optimal Tracking Control Problem
This code replicates the numerical simulations reported in the research paper entitled "Optimal time-invariant distributed formation tracking for second-order multi-agent systems"
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