Jul 4, 2023 · This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, ...

Oct 17, 2023 · Abstract—This article aims at solving the problems of data-driven control design in the presence of strong uncertainties,.

A modified DL-and- ESO-based data-driven adaptive control (mDLESO-DDAC) is proposed by using knowledge from previous control input to improve the control ...

Oct 22, 2024 · Abstract. This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, ...

By applying dynamic linearization techniques and model predictive control strategies along the iterative axis, an ILMPC scheme with disturbance compensation ...

Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization ... The two proposed methods are both data-driven and do ...

A local compact form dynamic linearization (local-CFDL) is developed at first to transform the original nonlinear nonaffine system into an affine structure ...

In this paper, a new adaptive extended state observer based data-driven anti-disturbance control (AESO-DDADC) design is proposed for industrial nonlinear ...

Oct 22, 2024 · By using dynamic linearization technology, MFAC transforms the discrete-time nonlinear system model into a locally linear model. Model ...

Aug 17, 2023 · Hou, Discrete-time extended state observer-based model-free adaptive control via local dynamic linearization, IEEE T. Ind. Electron. 67 ...