Results 21 to 30 of about 219,337 (309)

Parameter-dependent PWQ Lyapunov function stability criteria for uncertain piecewise linear systems [PDF]

Modeling, Identification and Control, 2018
The calculation of piecewise quadratic (PWQ) Lyapunov functions is addressed in view of stability analysis of uncertain piecewise linear dynamics. As main contribution, the linear matrix inequality (LMI) approach proposed in (Johansson and Rantzer, 1998)
Morten Hovd, Sorin Olaru
doaj   +1 more source

Proliferation of non-linear excitations in the piecewise-linear perceptron

SciPost Physics, 2021
We investigate the properties of local minima of the energy landscape of a continuous non-convex optimization problem, the spherical perceptron with piecewise linear cost function and show that they are critical, marginally stable and displaying a set of
Antonio Sclocchi, Pierfrancesco Urbani
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Kuhn-Tucker-based stability conditions for systems with saturation [PDF]

, 2001
This paper presents a new approach to deriving stability conditions for continuous-time linear systems interconnected with a saturation. The method presented can be extended to handle a dead-zone, or in general, nonlinearities in the form of piecewise ...
Gianelli, Monica, Primbs, James A.
core   +1 more source

Piecewise reproducing kernel-based symmetric collocation approach for linear stationary singularly perturbed problems

AIMS Mathematics, 2020
The aim of this paper is to develop an accurate symmetric collocation scheme for a class of linear stationary singular perturbation problems with two boundary layers.
F. Z. Geng
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Using infeasible path cuts to solve Electric Vehicle Routing Problems with realistic charging functions exactly within a branch-and-cut framework

EURO Journal on Transportation and Logistics
The paper investigates the Electric Vehicle Routing Problem with a non-linear concave and strictly monotonic increasing charging function. In the literature, the non-linear charging function is typically approximated by a piecewise linear charging ...
Arne Schulz
doaj   +1 more source

Computing Correlation between Piecewise-Linear Functions

SIAM Journal on Computing, 2013
We study the problem of computing correlation between two piecewise-linear bivariate functions defined over a common domain, where the surfaces they define in three dimensions---polyhedral terrains---can be transformed vertically by a linear transformation of the third coordinate (scaling and translation).
Agarwal, Pankaj, Aronov, Boris, Van Kreveld, Matias, Löffler, Maarten, Silveira, Rodrigo Ignacio   +4 more
openaire   +4 more sources

Slope estimation in noisy piecewise linear functions [PDF]

Signal Processing, 2015
This paper discusses the development of a slope estimation algorithm called MAPSlope for piecewise linear data that is corrupted by Gaussian noise. The number and locations of slope change points (also known as breakpoints) are assumed to be unknown a priori though it is assumed that the possible range of slope values lies within known bounds.
Atul, Ingle, James, Bucklew, William, Sethares, Tomy, Varghese   +3 more
openaire   +2 more sources

Ranking Templates for Linear Loops [PDF]

, 2014
We present a new method for the constraint-based synthesis of termination arguments for linear loop programs based on linear ranking templates. Linear ranking templates are parametrized, well-founded relations such that an assignment to the parameters ...
A. Podelski, A. Podelski, A. Rybalchenko, A.M. Ben-Amram, A.R. Bradley, A.R. Bradley, B. Cook, B. Cook, C. Alias, D. Jovanović, D. Kroening, D. Kroening, D.Y. Grigor’ev, E. Albert, M. Heizmann, M.A. Colón, S. Sankaranarayanan, W.R. Harris   +17 more
core   +3 more sources

Towards a simplified definition of Function Points [PDF]

, 2013
3Background. COSMIC Function Points and traditional Function Points (i.e., IFPUG Function points and more recent variation of Function Points, such as NESMA and FISMA) are probably the best known and most widely used Functional Size Measurement methods ...
Gabriela Robiolo, Luigi Lavazza, Sandro Morasca   +2 more
core   +1 more source

Improving Neural Network Efficiency Using Piecewise Linear Approximation of Activation Functions

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Activation functions play a pivotal role in Neural Networks by enabling the modeling of complex non-linear relationships within data. However, the computational cost associated with certain activation functions, such as the hyperbolic tangent (tanh) and
Pavan Reddy, Aditya Sanjay Gujral
doaj   +1 more source