Results 141 to 150 of about 10,373,678 (325)
Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
wiley +1 more source
A Mathematical Model for Allergic Reactions Induced by the Therapy of HIV
ABSTRACT A new mathematical model for cell evolution in HIV is introduced and studied. Delay differential equations are used to capture the dynamics of immune system cells involved in allergies, as well as the evolution of HIV viruses, infected and uninfected CD4 +$$ {}^{+} $$ cells, and cytotoxic T‐lymphocytes, under specific antiretroviral therapy ...
Rawan Abdullah+3 more
wiley +1 more source
An algorithm for constructing Lyapunov functions
In this monograph we develop an algorithm for constructing Lyapunov functions for arbitrary switched dynamical systems $dot{mathbf{x}} = mathbf{f}_sigma(t,mathbf{x})$, possessing a uniformly asymptotically stable equilibrium.
Sigurdur Freyr Hafstein
doaj
Lyapunov functions for convergence of principal component algorithms
Mark D. Plumbley
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Finite-time and fixed-time observer design: Implicit Lyapunov function approach
F. Lopez-Ramirez+3 more
semanticscholar +1 more source
Attractors for an Energy‐Damped Viscoelastic Plate Equation
ABSTRACT In this paper, we consider a class of non‐autonomous beam/plate equations with an integro‐differential damping given by a possibly degenerate memory and an energy damping given by a nonlocal ε$$ \varepsilon $$‐perturbed coefficient. For each ε>0$$ \varepsilon >0 $$, we show that the dynamical system generated by the weak solutions of the ...
V. Narciso+3 more
wiley +1 more source
Global aspects of control systems: perspectives from control Lyapunov functions
Chung‐Ming Ou
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Computing control Lyapunov functions via a Zubov type algorithm [PDF]
Lars Grüne, F. Wurth
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ABSTRACT This work addresses the problem of developing a nonfragile sliding mode observer for fractional‐order complex networked systems (FO‐CNS) under stochastic network attacks. The proposed approach employs a combination of event‐triggered techniques. First, a nonfragile fractional‐order state observer is developed, enabling the design of a suitable
Xin Meng+2 more
wiley +1 more source