A novel controller is proposed in this paper, which is based on the data-driven equivalent model, to produce a discrete-time, fractional-order and nonlinear ...
Discrete-time fractional-order control based on data-driven ...
dl.acm.org › abs › j.asoc.2020.106633
Considering the case of highly uncertain nonlinear systems, a controller based on an equivalent data-driven model is proposed, such that, the implementation ...
With the aim of enhancing the closed-loop performance, a discrete-time fractional-order reaching law is studied. Firstly, the nonlinear system is expressed in ...
The fractional-order nature of the proposed model relaxes the stringent conditions on data-driven schemes, allowing instantaneous changes in the output signal ...
With the aim of enhancing the closed-loop performance, a discrete-time fractional-order reaching law is studied. Firstly, the nonlinear system is expressed in ...
This paper proposes a novel data-driven control for stabilization of a class of uncertain discrete-time nonlinear systems. The proposed method is based on ...
This paper concerns an improved model-free adaptive fractional-order control with a high-order pseudo-partial derivative for uncertain discrete-time nonlinear ...
This paper presents a new implementable strategy for modeling and identification of a fractional-order discrete-time block-oriented feedback-nonlinear ...
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Abstract. This study proposes a one-shot data-driven tuning method for a fractional-order proportional- integral-derivative (FOPID) controller.
Nov 3, 2022 · This paper proposes a compound data-driven control method to solve the problems of low damping resonance, different dynamic properties, ...