Results 101 to 110 of about 3,784 (194)

Validation of Neural Network Controllers for Uncertain Systems Using the Keep‐Close Approach: Robustness Analysis and Safety Verification

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley   +1 more source

A hybrid machine learning framework for offline signature verification using gray wolf optimization. [PDF]

Sci Rep
Rathore NC, Juneja A, Kumar N, Kumar V, Dhaka A.   +4 more
europepmc   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Optical System Design for Off-Axis Polarization Super-Resolution Imaging with Four Sub-Apertures. [PDF]

J Imaging
Gu X, Wang C, Jiang H, Wang B.
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

High-Precision MEMS Resonant Pressure Sensor for Real-Time Barometric Monitoring. [PDF]

Micromachines (Basel)
Xia F, Pang S, Bai Y, Zhang Z, Feng L, Hou Y, Wang Y, Liu Z, Sun Y, Wang J, Wang S.   +10 more
europepmc   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Journal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source

Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler-Lagrange systems under position constraints. [PDF]

Sci Rep
Yilmaz BM.
europepmc   +1 more source

Microfluidic Capillary Arrays for Pixelated Control of Multimaterial Flows

Small, EarlyView.
A 3D‐printed pixellated capillary array maps up to thousands of fluid inputs into arbitrary multimaterial flow cross‐sections. Automated manifold design and laminar scaling are used to amplify printing resolution orders of magnitude, generating microscale fluidic control from printed elements, enabling designed microflows for potential use in ...
Max Chapman, Muhammad Utomo, David J. Collins   +2 more
wiley   +1 more source

Omega deoxyribonucleic acid cryptography key-based authentication. [PDF]

Sci Rep
Chuah CW, Tey J, Mohamad KM.
europepmc   +1 more source