Sep 23, 2011 · The proposed controller design has two entities, an action network that is designed to produce optimal signal and a critic network that ...
In this paper, reinforcement learning state- and output-feedback-based adaptive critic controller designs are proposed by using the online approximators ...
Reinforcement Learning Controller Design for Affine Nonlinear Discrete ...
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Abstract—In this paper, reinforcement learning state- and output-feedback-based adaptive critic controller designs are pro- posed by using the online ...
In this paper, reinforcement learning state- and output-feedback-based adaptive critic controller designs are proposed by using the online approximators ...
In this paper, we develop an online learning control for a class of unknown nonaffine nonlinear discrete-time systems with unknown bounded disturbances.
Nov 28, 2014 · In this paper, we develop an online learning control for a class of unknown nonaffine nonlinear discrete-time systems with unknown bounded ...
Aug 18, 2020 · In this work, output-feedback control problems for a class of discrete-time non-affine nonlinear systems with unknown control directions and input constraints ...
In this paper, we develop an online learning control for a class of unknown nonaffine nonlinear discrete-time systems with unknown bounded disturbances.
In this paper, a reinforcement-learning-based direct adaptive control is developed to deliver a desired tracking performance for a class of discrete-time ...
Yang Q, Jagannathan S (2011) Reinforcement learning controller design for affine nonlinear discrete-time systems using online approximators. IEEE Transactions ...