Abstract: This paper investigates the problem of tracking morphologically similar targets for nonlinear systems and proposes an adaptive-gain reinforcement iterative learning control (AG-RILC) scheme.

in newton_solver.C you see it being used by that solver. Upstream you can see the parameter being set in the system, and then passed to solver. but in the petsc non linear solver class it appears ...

Spending more time in glucose range could help reduce adverse pregnancy outcomes, but available closed-loop insulin delivery systems are not customized to pregnancy-specific needs. In a randomized ...

Incorporating modeling and simulation as a routine part of training, experimentation, and new system design has given warfighters opportunities to train on more realistic scenarios than ever before.

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This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

2025 has been a turning point for crypto, and XRP is leading the charge. With new leadership in Washington and a wave of regulatory clarity sweeping through Capitol Hill, XRP is finally shedding the ...

Abstract: We present a simple ensemble method for microwave imaging that combines four different non-linear iterative inversion solutions to the same imaging problem. The goals of this approach are (1 ...

igus is proud to announce that its e-loop modular cable carrier has been selected as the winner of the 2025 American Society of Mechanical Engineers (ASME) Woelfel Best Mechanical Engineering ...