This paper present a feedback linearization technique for affine nonlinear systems that is independent of system dynamics. First, a input-output feedback ...
Abstract—This paper present a feedback linearization tech- nique for affine nonlinear systems that is independent of system dynamics. First, a input-output ...
To overcome the issue of coupling in the dual-network controller, a model-free Q-learning method is presented to solve the unknown controller network weights.
This paper presents a filtered-feedback-linearization controller for multi-input–multi-output nonlinear systems, where the equilibrium of the zero dynamics is ...
Oct 29, 2019 · We present a novel approach to control design for nonlinear systems which leverages model-free policy optimization techniques to learn a linearizing controller.
Missing: Q- method
Feedback linearization is a technique from nonlinear control which renders the input-output dynamics of a nonlinear plant linear under application of an ...
May 21, 2023 · In this work, we develop a data-driven approach using deep learning to learn the feedback law and nonlinear change of coordinates to feedback ...
Feedback Linearization for Unknown Systems via Reinforcement Learning
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This paper proposes a framework for adaptively learning a feedback linearization-based tracking controller for an unknown system using discrete-time ...
Missing: Q- | Show results with:Q-
Feedback linearization is a technique from nonlinear control which renders the input-output dynamics of a nonlinear plant linear under application of an ...
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Feedback linearization is a technique from nonlinear control which renders the input-output dynamics of a nonlinear plant \emph l i n e a r under application of ...
Missing: Q- | Show results with:Q-