Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications

This paper derives several well-posedness (existence and uniqueness) and stability results for nonlinear stochastic distributed parameter systems (SDPSs) governed by nonlinear partial differential equations (PDEs) subject to both state-dependent and additive stochastic disturbances. These systems do...

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Main Author: Do, Khac Duc
Format: Journal Article
Published: The American Society of Mechanical Engineers 2016
Online Access:http://hdl.handle.net/20.500.11937/51405
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author Do, Khac Duc
author_facet Do, Khac Duc
author_sort Do, Khac Duc
building Curtin Institutional Repository
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description This paper derives several well-posedness (existence and uniqueness) and stability results for nonlinear stochastic distributed parameter systems (SDPSs) governed by nonlinear partial differential equations (PDEs) subject to both state-dependent and additive stochastic disturbances. These systems do not need to satisfy global Lipschitz and linear growth conditions. First, the nonlinear SDPSs are transformed to stochastic evolution systems (SESs), which are governed by stochastic ordinary differential equations (SODEs) in appropriate Hilbert spaces, using functional analysis. Second, Lyapunov sufficient conditions are derived to ensure well-posedness and almost sure (a.s.) asymptotic and practical stability of strong solutions. Third, the above results are applied to study well-posedness and stability of the solutions of two exemplary SDPSs.
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spelling curtin-20.500.11937-514052017-09-13T15:48:11Z Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications Do, Khac Duc This paper derives several well-posedness (existence and uniqueness) and stability results for nonlinear stochastic distributed parameter systems (SDPSs) governed by nonlinear partial differential equations (PDEs) subject to both state-dependent and additive stochastic disturbances. These systems do not need to satisfy global Lipschitz and linear growth conditions. First, the nonlinear SDPSs are transformed to stochastic evolution systems (SESs), which are governed by stochastic ordinary differential equations (SODEs) in appropriate Hilbert spaces, using functional analysis. Second, Lyapunov sufficient conditions are derived to ensure well-posedness and almost sure (a.s.) asymptotic and practical stability of strong solutions. Third, the above results are applied to study well-posedness and stability of the solutions of two exemplary SDPSs. 2016 Journal Article http://hdl.handle.net/20.500.11937/51405 10.1115/1.4033946 The American Society of Mechanical Engineers restricted
spellingShingle Do, Khac Duc
Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title_full Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title_fullStr Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title_full_unstemmed Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title_short Stability of Nonlinear Stochastic Distributed Parameter Systems and Its Applications
title_sort stability of nonlinear stochastic distributed parameter systems and its applications
url http://hdl.handle.net/20.500.11937/51405