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Abstract: This study proposes a fuzzy control design methodology for regulating an output of biasing nonlinear systems. First, the general nonlinear systems ...
This study proposes a fuzzy control design methodology for regulating an output of biasing nonlinear systems. First, the general nonlinear systems with ...
Sep 20, 2012 · The paper presents a connection between the classic model reference adaptive control and recent developments in the theory of adaptive ...
Missing: via approach.
Mar 14, 2023 · Abstract: In this paper, we deal with output tracking control problems for input-affine nonlinear systems. We propose a deep learning-based ...
This paper addresses an optimal output regulation problem for linear time-invariant systems with unknown dynamics.
Sep 15, 2024 · In this paper, we first extend an existing algorithm from single-input single-output linear systems to multi-input multi-output linear systems.
The paper presents a connection between the classic model reference adaptive control and recent developments in the theory of adaptive output regulation.
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Output regulation is the problem of finding a control law by which the output of the concerning plant can asymptotically track a prescribed trajectories.
The main contribution of this article is to develop a self-learning mechanism using an adaptive internal model approach for solving the asymptotic tracking and.
A novel adaptive output‐feedback resilient tracking control scheme is proposed to ensure the reliability of the attacked systems and it is shown that the ...