scispace - formally typeset
M

Mark A. Pinsky

Researcher at University of Nevada, Reno

Publications -  52
Citations -  237

Mark A. Pinsky is an academic researcher from University of Nevada, Reno. The author has contributed to research in topics: Nonlinear system & Exponential stability. The author has an hindex of 8, co-authored 52 publications receiving 224 citations. Previous affiliations of Mark A. Pinsky include Universidad Autónoma de Nuevo León.

Papers
More filters
Journal ArticleDOI

Oscillations of a pendulum with a periodically varying length and a model of swing

TL;DR: In this paper, a pendulum with a periodically varying length was analyzed and it was proved that there are two periodic solutions having a prescribed amplitude A. It was also proved that these periodic solutions have a prescribed frequency.
Journal ArticleDOI

Exponential stability and solution bounds for systems with bounded nonlinearities

TL;DR: More accurate upper bounds are obtained for the general Lyapunov exponent for systems consisting of a known linear time-varying part and an unknown nonlinear component with a bounded Lipschitz constant at zero, and a sufficient condition for exponential stability of this system is formulated.
Journal ArticleDOI

Delay-Independent Stability Conditions for Time-Varying Nonlinear Uncertain Systems

TL;DR: A new stability criterion for time-varying systems consisting of linear and norm bounded nonlinear terms with uncertain time-Varying delays is formulated and it is shown that these systems satisfy the well-known Aizerman's conjecture.
Journal ArticleDOI

General Solution of Stability Problem for Plane Linear Switched Systems and Differential Inclusions

TL;DR: A precise upper bound for the number of switching points in a periodic solution, corresponding to the break of stability, is found and it is shown that, for a switched system, thebreak of stability may also occur on a solution with infinitely fast switching between some two subsystems.
Journal ArticleDOI

On impulse and continuous observation control design in Kalman filtering problem

TL;DR: In this article, the authors developed an observation control method for refining the Kalman-Bucy estimates based on impulsive modeling of the transition matrix in an observation equation, thus engaging discrete-continuous observations.