Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems
Estimation of solution norms and stability for time-dependent nonlinear systems is ubiquitous in numerous engineering, natural science, and control problems. Yet, practically valuable results are rare in this area. This paper develops a novel approach, which bounds the solution norms, derives the co...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/5128430 |
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doaj-c4d9a86d88c04ddc9a007d1281b00eb22020-11-25T02:00:30ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/51284305128430Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying SystemsMark A. Pinsky0Steve Koblik1Department of Mathematics & Statistics, University of Nevada, Reno, Reno, NV 89557, USAPrivate Practice, 8110, Birchfield Dr, Indianapolis, IN 46268, USAEstimation of solution norms and stability for time-dependent nonlinear systems is ubiquitous in numerous engineering, natural science, and control problems. Yet, practically valuable results are rare in this area. This paper develops a novel approach, which bounds the solution norms, derives the corresponding stability criteria, and estimates the trapping/stability regions for some nonautonomous and nonlinear systems, which arise in various application domains. Our inferences rest on deriving a scalar differential inequality for the norms of solutions to the initial systems. Utility of the Lipschitz inequality linearizes the associated auxiliary differential equation and yields both the upper bounds for the norms of solutions and the relevant stability criteria. To refine these inferences, we introduce a nonlinear extension of the Lipschitz inequality, which improves the developed bounds and allows estimation of the stability/trapping regions for the corresponding systems. Finally, we confirm the theoretical results in representative simulations.http://dx.doi.org/10.1155/2020/5128430 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mark A. Pinsky Steve Koblik |
spellingShingle |
Mark A. Pinsky Steve Koblik Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems Mathematical Problems in Engineering |
author_facet |
Mark A. Pinsky Steve Koblik |
author_sort |
Mark A. Pinsky |
title |
Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems |
title_short |
Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems |
title_full |
Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems |
title_fullStr |
Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems |
title_full_unstemmed |
Solution Bounds, Stability, and Estimation of Trapping/Stability Regions of Some Nonlinear Time-Varying Systems |
title_sort |
solution bounds, stability, and estimation of trapping/stability regions of some nonlinear time-varying systems |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2020-01-01 |
description |
Estimation of solution norms and stability for time-dependent nonlinear systems is ubiquitous in numerous engineering, natural science, and control problems. Yet, practically valuable results are rare in this area. This paper develops a novel approach, which bounds the solution norms, derives the corresponding stability criteria, and estimates the trapping/stability regions for some nonautonomous and nonlinear systems, which arise in various application domains. Our inferences rest on deriving a scalar differential inequality for the norms of solutions to the initial systems. Utility of the Lipschitz inequality linearizes the associated auxiliary differential equation and yields both the upper bounds for the norms of solutions and the relevant stability criteria. To refine these inferences, we introduce a nonlinear extension of the Lipschitz inequality, which improves the developed bounds and allows estimation of the stability/trapping regions for the corresponding systems. Finally, we confirm the theoretical results in representative simulations. |
url |
http://dx.doi.org/10.1155/2020/5128430 |
work_keys_str_mv |
AT markapinsky solutionboundsstabilityandestimationoftrappingstabilityregionsofsomenonlineartimevaryingsystems AT stevekoblik solutionboundsstabilityandestimationoftrappingstabilityregionsofsomenonlineartimevaryingsystems |
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