Robust stabilisation for a class of stochastic two-dimensional non-linear systems with time-varying delays

This study addresses the robust stabilisation problem for the two-dimensional (2D) discrete non-linear stochastic systems with time-varying delays in states. Based on the well-known Fornasini–Marchesini local state-space model, a more general 2D discrete non-linear system is considered with both sto...

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Vydáno v:IET control theory & applications Ročník 7; číslo 13; s. 1699 - 1710
Hlavní autoři: Liang, Jinling, Wang, Zidong, Liu, Xiaohui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Stevenage The Institution of Engineering and Technology 01.09.2013
John Wiley & Sons, Inc
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ISSN:1751-8644, 1751-8652
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Abstract This study addresses the robust stabilisation problem for the two-dimensional (2D) discrete non-linear stochastic systems with time-varying delays in states. Based on the well-known Fornasini–Marchesini local state-space model, a more general 2D discrete non-linear system is considered with both stochastic disturbances and time-varying delays. Our attention is focused on the design of a delay-dependent state-feedback controller so that the 2D stochastic non-linear system is guaranteed to be globally asymptotically stabilisable in the mean square. By using the stochastic analysis and some inequality techniques, sufficient criteria ensuring the existence of such controllers are derived in terms of matrix inequalities, which can be effectively solved by resorting to some standard convex optimisation algorithms. Furthermore, such stabilisation results are extended to more general cases where the system matrices contain either polytopic or norm-bounded parameter uncertainties. Finally, a numerical example is provided to demonstrate the applicability of the proposed controller design approach.
AbstractList This study addresses the robust stabilisation problem for the two‐dimensional (2D) discrete non‐linear stochastic systems with time‐varying delays in states. Based on the well‐known Fornasini–Marchesini local state‐space model, a more general 2D discrete non‐linear system is considered with both stochastic disturbances and time‐varying delays. Our attention is focused on the design of a delay‐dependent state‐feedback controller so that the 2D stochastic non‐linear system is guaranteed to be globally asymptotically stabilisable in the mean square. By using the stochastic analysis and some inequality techniques, sufficient criteria ensuring the existence of such controllers are derived in terms of matrix inequalities, which can be effectively solved by resorting to some standard convex optimisation algorithms. Furthermore, such stabilisation results are extended to more general cases where the system matrices contain either polytopic or norm‐bounded parameter uncertainties. Finally, a numerical example is provided to demonstrate the applicability of the proposed controller design approach.
This study addresses the robust stabilisation problem for the two-dimensional (2D) discrete non-linear stochastic systems with time-varying delays in states. Based on the well-known Fornasini-Marchesini local state-space model, a more general 2D discrete non-linear system is considered with both stochastic disturbances and time-varying delays. Our attention is focused on the design of a delay-dependent state-feedback controller so that the 2D stochastic non-linear system is guaranteed to be globally asymptotically stabilisable in the mean square. By using the stochastic analysis and some inequality techniques, sufficient criteria ensuring the existence of such controllers are derived in terms of matrix inequalities, which can be effectively solved by resorting to some standard convex optimisation algorithms. Furthermore, such stabilisation results are extended to more general cases where the system matrices contain either polytopic or norm-bounded parameter uncertainties. Finally, a numerical example is provided to demonstrate the applicability of the proposed controller design approach. [PUBLICATION ABSTRACT]
Author Liang, Jinling
Wang, Zidong
Liu, Xiaohui
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2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology
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Issue 13
Keywords Fornasini-Marchesini local state-space model
time-varying systems
stochastic disturbances
discrete systems
robust stabilisation problem
2D discrete nonlinear stochastic systems
control system synthesis
convex programming
matrix inequalities
asymptotic stability
convex optimisation algorithms
stochastic two dimensional nonlinear systems
inequality techniques
delays
nonlinear control systems
delay dependent state feedback controller
robust control
2D stochastic nonlinear system
state feedback
mean square error methods
stochastic analysis
time-varying delays
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Snippet This study addresses the robust stabilisation problem for the two-dimensional (2D) discrete non-linear stochastic systems with time-varying delays in states....
This study addresses the robust stabilisation problem for the two‐dimensional (2D) discrete non‐linear stochastic systems with time‐varying delays in states....
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SubjectTerms 2D discrete nonlinear stochastic systems
2D stochastic nonlinear system
Asymptotic properties
asymptotic stability
control system synthesis
convex optimisation algorithms
convex programming
Delay
delay dependent state feedback controller
delays
Design engineering
discrete systems
Dynamical systems
Fornasini‐Marchesini local state‐space model
Inequalities
inequality techniques
matrix inequalities
mean square error methods
nonlinear control systems
Nonlinear dynamics
robust control
robust stabilisation problem
state feedback
stochastic analysis
stochastic disturbances
stochastic two dimensional nonlinear systems
Stochasticity
time‐varying delays
time‐varying systems
Two dimensional
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Title Robust stabilisation for a class of stochastic two-dimensional non-linear systems with time-varying delays
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