Multigradient recursive reinforcement learning NN control for affine nonlinear systems with unmodeled dynamics
From MaRDI portal
Publication:4990384
DOI10.1002/rnc.4843zbMath1465.93133OpenAlexW2995853552WikidataQ126535721 ScholiaQ126535721MaRDI QIDQ4990384
Qi Zhou, Weiwei Bai, Bin Zhang, Ren-Quan Lu
Publication date: 28 May 2021
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.4843
Related Items (9)
Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning ⋮ Adaptive-critic-based model reference control for unknown nonlinear systems with input constraints ⋮ Command filter‐based event‐triggered adaptive neural network control for uncertain nonlinear time‐delay systems ⋮ Outlier robust identification of dual‐rate Hammerstein models in the presence of unmodeled dynamics ⋮ Adaptive event‐triggered control for MIMO nonlinear systems with asymmetric state constraints based on unified barrier functions ⋮ Adaptive fault‐tolerant optimized formation control for perturbed nonlinear multiagent systems ⋮ Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming ⋮ Adaptive event-triggered \(H_{\infty }\) control for Markov jump systems with generally uncertain transition rates ⋮ <scp>Event‐triggered</scp> adaptive stabilization control of stochastic nonlinear systems with unmodeled dynamics
This page was built for publication: Multigradient recursive reinforcement learning NN control for affine nonlinear systems with unmodeled dynamics