Results 61 to 70 of about 1,907 (143)
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley +1 more source
Fuzzy Sliding Mode Control for a Nonlinear System With an Extended State Observer
The block diagram of Fuzzy Sliding Mode Controller (FSMC) with Extended State Observer (ESO) for a nonlinear system. ABSTRACT This paper presents a fuzzy‐based sliding mode controller (SMC) that incorporates an extended state observer (ESO) to achieve accurate trajectory tracking of uncertain nonlinear systems.
Hayleyesus Girma Dirara +2 more
wiley +1 more source
The study introduces a model‐free data‐driven control strategy combining sliding mode control with a projection recurrent neural network to regulate HIV dynamics. The method eliminates dependence on mathematical models, ensures constrained optimal drug dosing, and robustly drives HIV states to a healthy equilibrium despite uncertainty. ABSTRACT In this
Ashkan Zarghami +2 more
wiley +1 more source
Integral Sliding Mode Controller for Modular Multilevel Inverter‐Based PMSM Drives
The primary contribution of this work is the development of an integral sliding mode controller (ISMC) designed for motor speed and current regulation, optimized to enhance control performance with the unique MMLI structure. The proposed MMLI architecture offers a reduced number of switching components and passive elements, thereby minimizing system ...
Taiea A. Ahmed +6 more
wiley +1 more source
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
ABSTRACT Noise is an inherent component of observed time series and may be treated either as an undesirable disturbance or as an intrinsic system characteristic containing information about underlying dynamics. In the latter perspective, noise behavior must be analyzed and quantified, and the model used for time‐series synthesis should be compatible ...
Shirin Studnicka, Deli Li, Umed Panu
wiley +1 more source
PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh +2 more
wiley +1 more source
ABSTRACT A newly developed robust control strategy based on an adaptive neural network (ANN) estimator performed in concert with adaptive super‐twisting (ASTW) control is presented. The proposed adaptive robust control algorithm is applied to a class of perturbed nonlinear systems and features a significantly decreased control gain with respect to the ...
Mohammad Javad Mirzaei +3 more
wiley +1 more source
Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems. [PDF]
Khalil H, Elshazly O, Shaheen O.
europepmc +1 more source

