Results 151 to 160 of about 113,518 (248)

A Hierarchical Deep Symbolic AI Method for Closed‐Form, Interpretable Constitutive Modeling

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT Recent advances in advanced manufacturing have enabled the development of multifunctional materials such as soft composites, whose complex nonlinear behaviors demand accurate and interpretable constitutive modeling. Traditional phenomenological formulations rely heavily on assumed functional forms and expert intuition, requiring extensive ...
Haozhe Yu   +3 more
wiley   +1 more source

Social prescribing programs involving unpaid caregivers: A scoping review. [PDF]

open access: yesPLoS One
Kadri Z   +5 more
europepmc   +1 more source

Safe Stabilization Using Non‐Smooth Control Lyapunov Barrier Function

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5823-5835, 25 July 2026.
ABSTRACT This paper addresses the challenge of safe stabilization, ensuring the system state reaches the origin while avoiding unsafe state regions. Existing approaches that rely on smooth Lyapunov barrier functions often fail to guarantee a feasible controller. To overcome this limitation, we introduce the non‐smooth control Lyapunov barrier function (
Jianglin Lan   +3 more
wiley   +1 more source

Structure Exploitation in Semi-Definite Programs for Systems Analysis

open access: yes, 2008
A wide variety of problems involving analysis of systems can be rewritten as a semidefinite program. When solving these problems optimization algorithms are used. Large size makes the problems unsolvable in practice and computationally more effective solvers are needed.
Harju Johansson, Janne, Hansson, Anders
openaire   +1 more source

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5964-5981, 25 July 2026.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy