Results 141 to 150 of about 103,412 (240)

Homogeneous Observer‐Based Affine Formation Tracking

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2692-2704, 25 March 2026.
ABSTRACT This article addresses the control of mobile agents, termed followers, to track a time‐varying affine formation specified by a set of leaders. We present a distributed hierarchical method composed of a homogeneous high‐order sliding mode observer and a tracking controller. The observer estimates the followers' target trajectories from neighbor
Rodrigo Aldana‐López, Miguel Aranda, Rosario Aragüés, Carlos Sagüés   +3 more
wiley   +1 more source

Generalization bounds for a generator-regularized InfoGAN-inspired adversarial objective. [PDF]

Front Artif Intell
Hasan M, Muia MN, Islam MM.
europepmc   +1 more source

Fourier Coefficients and Generalized Lipschitz Classes

, 2008
In this paper we give some equivalence relations between behavior of Fourier coefficients of a special kind and smoothness of functions. A necessary and sufficient condition for existence of Schwartz derivative is also obtained.
openaire   +1 more source

On Bounds for Norms of Reparameterized ReLU Artificial Neural Network Parameters: Sums of Fractional Powers of the Lipschitz Norm Control the Network Parameter Vector

Mathematical Methods in the Applied Sciences, Volume 49, Issue 4, Page 2135-2160, 15 March 2026.
ABSTRACT It is an elementary fact in the scientific literature that the Lipschitz norm of the realization function of a feedforward fully connected rectified linear unit (ReLU) artificial neural network (ANN) can, up to a multiplicative constant, be bounded from above by sums of powers of the norm of the ANN parameter vector.
Arnulf Jentzen, Timo Kröger
wiley   +1 more source

No-rank tensor decomposition via metric learning. [PDF]

Sci Rep
Bagherian M.
europepmc   +1 more source

Lipschitz-based robustness estimation for hyperdimensional learning. [PDF]

Front Artif Intell
Yeung C, Errahmouni Barkam H, Zou Z, Yun S, Bastian ND, Imani M.   +5 more
europepmc   +1 more source

Evolution Equations on Co-evolving Graphs: Long-Time Behaviour and the Graph-Continuity Equation. [PDF]

J Nonlinear Sci
Carrillo JA, Esposito A, Mikolás L.
europepmc   +1 more source

A note on Lipschitz classes

Mathematische Zeitschrift, 1976
openaire   +1 more source

HasLoss: a novel Hassanat distance-based loss functions for binary classification. [PDF]

Front Artif Intell
Tarawneh AS.
europepmc   +1 more source

Isometric representations in neural networks improve robustness. [PDF]

Sci Rep
Beshkov K, Verhellen J, Lepperød ME.
europepmc   +1 more source