Results 101 to 110 of about 975,613 (342)
Nonlinear Backstepping Control Design for Coupled Nonlinear Systems under External Disturbances
A nonlinear backstepping control is proposed for the coupled normal form of nonlinear systems. The proposed method is designed by combining the sliding-mode control and backstepping control with a disturbance observer (DOB).
Wonhee Kim +3 more
doaj +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Economic Machine-Learning-Based Predictive Control of Nonlinear Systems
In this work, a Lyapunov-based economic model predictive control (LEMPC) method is developed to address economic optimality and closed-loop stability of nonlinear systems using machine learning-based models to make predictions.
Zhe Wu, Panagiotis D. Christofides
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Adaptive iteration learning control with iteration‐varying event‐triggered mechanism for discrete‐time nonlinear systems with random initial states [PDF]
Sheng Chai, Miao Yu
openalex +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
This paper presents an analytical method to solve the optimal control problem for affine nonlinear systems with unknown drift dynamics. A new non‐quadratic cost function over an infinite horizon is presented that considers input constraints and includes ...
Zahra Tavanaei Sereshki +2 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Due to variable and complex work environments, nonlinearities, uncertainty and disturbances are inevitable in multi‐agent systems. Approximation‐free control can address these issues without involving approximators, such as fuzzy logic systems and neural
Xiaoyan Hu +4 more
doaj +1 more source
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti +5 more
wiley +1 more source
The perimeter control method is an effective way to alleviate traffic congestion that is based on Macroscopic Fundamental Diagrams (MFDs). However, the strategy may lead to congestion when it ignores the uncertainty of MFDs. To address this problem, this
Yuntao Shi +4 more
doaj +1 more source

