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The unknown virtual gain signs are solved using the Nussbaum functions.
The Nussbaum-type functions are utilized to handle the unknown gain signs of the system under study.
In this paper, adaptive neural control is proposed for a class of uncertain multi-input multi-output (MIMO) nonlinear state time-varying delay systems in a triangular control structure with unknown nonlinear dead-zones and gain signs.
This paper investigates the problem of adaptive fuzzy tracking control for a class of multi-input multi-output (multi-input multi-output nonlinear systemulti-input multi-outputns and unMIMOurable switched
In this paper, robust adaptive control is proposed for a class of pure-feedback nonlinear systems with unmodeled dynamics and unknown gain signs using radial basis function neural networks (RBFNNs).
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Although China's Constitution includes provisions to protect human rights and China has ratified numerous international conventions banning torture, public security officials frequently use coercion to gain signed confessions.
Moreover, the Nussbaum-type function is employed to deal with the unknown high-frequency gain sign.
The considered systems have unknown nonlinear functions, unknown control gain sign, and unmeasurable state variables.
Reference [8] developed a fuzzy adaptive control approach for nonlinear systems with unknown control gain sign.
In this paper, a new direct adaptive controller for nonlinear SISO systems with unknown control gain sign is investigated.
In this paper, an observer-based fuzzy adaptive controller for nonlinear systems with unknown control gain sign is investigated.
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