Co-Design of Adaptive Event-Triggered Mechanism and Asynchronous H∞ Control for 2-D Markov Jump Systems via Genetic Algorithm

This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> control for two-dimensional (2-D) Markov jump systems. First, we introdu...

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Published inIEEE transactions on cybernetics Vol. 53; no. 9; pp. 5729 - 5740
Main Authors Cheng, Peng, Zhang, Guoqing, Zhang, Weidong, He, Shuping
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN2168-2267
2168-2275
2168-2275
DOI10.1109/TCYB.2022.3169530

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Abstract This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> control for two-dimensional (2-D) Markov jump systems. First, we introduce a hidden Markov model with the observation that the asynchronous phenomenon is inevitable between the plant mode and the controller mode. Besides, for economizing the communication times, an innovative 2-D AETM is constructed, which can dynamically regulate the event-triggered thresholds to strive for better system performance. Then, by utilizing the 2-D Lyapunov stability theory, nonlinear matrix inequalities are built to ensure the asymptotic mean-square stability with an <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> performance for the closed-loop 2-D system. To avoid introducing any conservatism when handling the above nonlinear matrix inequalities, a binary-based genetic algorithm (BGA) is exploited to treat some variables as known, such that derive some directly solvable linear matrix inequalities. Finally, a simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.
AbstractList This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous [Formula Omitted] control for two-dimensional (2-D) Markov jump systems. First, we introduce a hidden Markov model with the observation that the asynchronous phenomenon is inevitable between the plant mode and the controller mode. Besides, for economizing the communication times, an innovative 2-D AETM is constructed, which can dynamically regulate the event-triggered thresholds to strive for better system performance. Then, by utilizing the 2-D Lyapunov stability theory, nonlinear matrix inequalities are built to ensure the asymptotic mean-square stability with an [Formula Omitted] performance for the closed-loop 2-D system. To avoid introducing any conservatism when handling the above nonlinear matrix inequalities, a binary-based genetic algorithm (BGA) is exploited to treat some variables as known, such that derive some directly solvable linear matrix inequalities. Finally, a simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.
This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> control for two-dimensional (2-D) Markov jump systems. First, we introduce a hidden Markov model with the observation that the asynchronous phenomenon is inevitable between the plant mode and the controller mode. Besides, for economizing the communication times, an innovative 2-D AETM is constructed, which can dynamically regulate the event-triggered thresholds to strive for better system performance. Then, by utilizing the 2-D Lyapunov stability theory, nonlinear matrix inequalities are built to ensure the asymptotic mean-square stability with an <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> performance for the closed-loop 2-D system. To avoid introducing any conservatism when handling the above nonlinear matrix inequalities, a binary-based genetic algorithm (BGA) is exploited to treat some variables as known, such that derive some directly solvable linear matrix inequalities. Finally, a simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.
This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous H∞ control for two-dimensional (2-D) Markov jump systems. First, we introduce a hidden Markov model with the observation that the asynchronous phenomenon is inevitable between the plant mode and the controller mode. Besides, for economizing the communication times, an innovative 2-D AETM is constructed, which can dynamically regulate the event-triggered thresholds to strive for better system performance. Then, by utilizing the 2-D Lyapunov stability theory, nonlinear matrix inequalities are built to ensure the asymptotic mean-square stability with an H∞ performance for the closed-loop 2-D system. To avoid introducing any conservatism when handling the above nonlinear matrix inequalities, a binary-based genetic algorithm (BGA) is exploited to treat some variables as known, such that derive some directly solvable linear matrix inequalities. Finally, a simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous H∞ control for two-dimensional (2-D) Markov jump systems. First, we introduce a hidden Markov model with the observation that the asynchronous phenomenon is inevitable between the plant mode and the controller mode. Besides, for economizing the communication times, an innovative 2-D AETM is constructed, which can dynamically regulate the event-triggered thresholds to strive for better system performance. Then, by utilizing the 2-D Lyapunov stability theory, nonlinear matrix inequalities are built to ensure the asymptotic mean-square stability with an H∞ performance for the closed-loop 2-D system. To avoid introducing any conservatism when handling the above nonlinear matrix inequalities, a binary-based genetic algorithm (BGA) is exploited to treat some variables as known, such that derive some directly solvable linear matrix inequalities. Finally, a simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.
Author Cheng, Peng
Zhang, Weidong
Zhang, Guoqing
He, Shuping
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Snippet This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous <inline-formula> <tex-math...
This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous [Formula Omitted] control for two-dimensional...
This article concerns the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous H∞ control for two-dimensional (2-D) Markov jump...
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SubjectTerms Adaptive control
Adaptive event-triggered mechanism (AETM)
binary-based genetic algorithm (BGA)
Closed loops
Co-design
Controllers
Genetic algorithms
H-infinity control
hidden Markov model (HMM)
Hidden Markov models
H∞ control
Linear matrix inequalities
Markov chains
Markov processes
Stability
Symmetric matrices
System performance
Two dimensional displays
two-dimensional (2-D) Markov jump systems (MJSs)
Title Co-Design of Adaptive Event-Triggered Mechanism and Asynchronous H∞ Control for 2-D Markov Jump Systems via Genetic Algorithm
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