Results 31 to 40 of about 13,422 (168)

Pinning Synchronization for Complex Networks with Interval Coupling Delay by Variable Subintervals Method and Finsler’s Lemma

open access: yesComplexity, 2017
The pinning synchronous problem for complex networks with interval delays is studied in this paper. First, by using an inequality which is introduced from Newton-Leibniz formula, a new synchronization criterion is derived.
Dawei Gong   +4 more
doaj   +1 more source

Global exponential stability of generalized recurrent neural networks with discrete and distributed delays [PDF]

open access: yes, 2006
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2006 Elsevier Ltd.This paper is concerned with analysis problem for the global exponential stability of a class of recurrent ...
Arik   +30 more
core   +1 more source

Study of the TP transformation via the inverted pendulum example

open access: yesActa Technica Jaurinensis, 2021
This study decribes the Tensor Product (TP) based model construction through the nonlinear dynamic system of the inverted pendulum. It presents the steps of TP modeling, various weighting functions and the Linear Matrix Inequality (LMI) based approach ...
Andrea Wéber, Miklós Kuczmann
doaj   +1 more source

Positivity-preserving H∞ model reduction for positive systems [PDF]

open access: yes, 2011
This is the post-print version of the Article - Copyright @ 2011 ElevierThis paper is concerned with the model reduction of positive systems. For a given stable positive system, our attention is focused on the construction of a reduced-order model in ...
Date, P, Lam, J, Li, P, Wang, Z
core   +1 more source

Sufficient Dilated LMI Conditions for 𝐻∞ Static Output Feedback Robust Stabilization of Linear Continuous-Time Systems

open access: yesJournal of Applied Mathematics, 2012
New sufficient dilated linear matrix inequality (LMI) conditions for the 𝐻∞ static output feedback control problem of linear continuous-time systems with no uncertainty are proposed.
Kamel Dabboussi, Jalel Zrida
doaj   +1 more source

Simultaneous stabilization via static output feedback and state feedback [PDF]

open access: yes, 1999
In this paper, the simultaneous stabilization problem is considered using the matrix inequality approach. Some necessary and sufficient conditions for simultaneous stabilizability of r strictly proper multi-input/multi-output (MIMO) plants via static ...
Cao, YY, Lam, J, Sun, YX
core   +1 more source

Exposed faces of semidefinitely representable sets

open access: yes, 2009
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite.
Netzer, Tim   +2 more
core   +1 more source

Relationship between power loss and network topology in power systems [PDF]

open access: yes, 2010
This paper is concerned with studying how the minimum power loss in a power system is related to its network topology. The existing algorithms in the literature all exploit nonlinear, heuristic, or local search algorithms to find the minimum power loss ...
Lavaei, Javad, Low, Steven H.
core   +1 more source

Stability Analysis of Two Kinds of Fractional-Order Neural Networks Based on Lyapunov Method

open access: yesIEEE Access, 2021
At present, the theory and application of fractional-order neural networks remain in the exploratory stage. We study the asymptotic stability of fractional-order neural networks with Riemann-Liouville (R-L) derivatives.
Xin Chang   +3 more
doaj   +1 more source

Multi-Mode Estimation for Small Fixed Wing Unmanned Aerial Vehicle Localization Based on a Linear Matrix Inequality Approach

open access: yesSensors, 2017
Information fusion from multiple sensors ensures the accuracy and robustness of a navigation system, especially in the absence of global positioning system (GPS) data which gets degraded in many cases. A way to deal with multi-mode estimation for a small
Mostafa Elzoghby   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy