Integral Reinforcement Learning Control for a Class of High-Order Multivariable Nonlinear Dynamics With Unknown Control Coefficients
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993265
Abstract: This paper develops an integral reinforcement learning (IRL) controller for a class of high-order multivariable nonlinear systems with unknown control coefficients (UCCs). A new long-term performance index is first presented, and then the critic neural… read more here.
Keywords: control; reinforcement learning; class high; high order ... See more keywords
A New Robust Integral Reinforcement Learning Based Control Algorithm for Interleaved DC/DC Boost Converter
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3179558
Abstract: This article proposes a novel online integral reinforcement learning (IRL) based data-driven control algorithm for interleaved dc/dc boost converter. The proposed algorithm is independent of system model due to the usage of a three-layer neural… read more here.
Keywords: reinforcement learning; control algorithm; control; integral reinforcement ... See more keywords
Event-Triggered Guarantee Cost Control for Partially Unknown Stochastic Systems via Explorized Integral Reinforcement Learning Strategy.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3221105
Abstract: In this article, an integral reinforcement learning (IRL)-based event-triggered guarantee cost control (GCC) approach is proposed for stochastic systems which are modulated by randomly time-varying parameters. First, with the aid of the RL algorithm, the… read more here.
Keywords: stochastic systems; event triggered; cost; control ... See more keywords
A Novel Integral Reinforcement Learning-Based H∞ Control Strategy for Proton Exchange Membrane Fuel Cell in DC Microgrids
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3206281
Abstract: In this paper, a novel integral reinforcement learning (IRL) based $H_{\infty }$ control algorithm is proposed for proton exchange membrane fuel cells (PEMFCs) to enhance its performance in DC microgrids. The proposed control algorithm produces… read more here.
Keywords: proton exchange; reinforcement learning; control algorithm; control ... See more keywords