Event-Based Dissipative Control of Interval Type-2 Fuzzy Markov Jump Systems under Sensor Saturation and Actuator Nonlinearity

Guangtao Ran; Chuanjiang Li; Hak Keung Lam; Dongyu Li; Chunsong Han

doi:10.1109/TFUZZ.2020.3046335

Event-Based Dissipative Control of Interval Type-2 Fuzzy Markov Jump Systems under Sensor Saturation and Actuator Nonlinearity

Guangtao Ran
, Chuanjiang Li^*
, Hak Keung Lam
, Dongyu Li
, Chunsong Han

^*Corresponding author for this work

School of Astronautics

King's College London
National University of Singapore
Qiqihar University

Research output: Contribution to journal › Article › peer-review

49 Scopus citations

Abstract

This article proposes a new design of an event-based dissipative asynchronous controller for the interval type-2 (IT2) fuzzy Markov jump systems (MJSs) subject to sensor saturation and actuator nonlinearity. By resorting to a generalized performance index, the H∞, passive, and dissipative fuzzy control problems are solved in a unified framework. The event-based scheme is developed for the IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity, and the energy consumption of communication can be reduced. Moreover, the system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The membership-function-dependent approach is applied to analyze the stability of the closed-loop system. Finally, two examples are given to demonstrate the effectiveness of the proposed algorithms.

Original language	English
Pages (from-to)	714-727
Number of pages	14
Journal	IEEE Transactions on Fuzzy Systems
Volume	30
Issue number	3
DOIs	https://doi.org/10.1109/TFUZZ.2020.3046335
State	Published - 1 Mar 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Dissipative control
event-based control
hidden Markov model (HMM)
interval type-2 (IT2) fuzzy Markov jump systems (MJSs)
membership-function-dependent (MFD) approach

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10.1109/TFUZZ.2020.3046335

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title = "Event-Based Dissipative Control of Interval Type-2 Fuzzy Markov Jump Systems under Sensor Saturation and Actuator Nonlinearity",

abstract = "This article proposes a new design of an event-based dissipative asynchronous controller for the interval type-2 (IT2) fuzzy Markov jump systems (MJSs) subject to sensor saturation and actuator nonlinearity. By resorting to a generalized performance index, the H∞, passive, and dissipative fuzzy control problems are solved in a unified framework. The event-based scheme is developed for the IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity, and the energy consumption of communication can be reduced. Moreover, the system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The membership-function-dependent approach is applied to analyze the stability of the closed-loop system. Finally, two examples are given to demonstrate the effectiveness of the proposed algorithms.",

keywords = "Dissipative control, event-based control, hidden Markov model (HMM), interval type-2 (IT2) fuzzy Markov jump systems (MJSs), membership-function-dependent (MFD) approach",

author = "Guangtao Ran and Chuanjiang Li and Lam, \{Hak Keung\} and Dongyu Li and Chunsong Han",

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doi = "10.1109/TFUZZ.2020.3046335",

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AU - Ran, Guangtao

AU - Li, Chuanjiang

AU - Lam, Hak Keung

AU - Li, Dongyu

AU - Han, Chunsong

PY - 2022/3/1

Y1 - 2022/3/1

N2 - This article proposes a new design of an event-based dissipative asynchronous controller for the interval type-2 (IT2) fuzzy Markov jump systems (MJSs) subject to sensor saturation and actuator nonlinearity. By resorting to a generalized performance index, the H∞, passive, and dissipative fuzzy control problems are solved in a unified framework. The event-based scheme is developed for the IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity, and the energy consumption of communication can be reduced. Moreover, the system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The membership-function-dependent approach is applied to analyze the stability of the closed-loop system. Finally, two examples are given to demonstrate the effectiveness of the proposed algorithms.

AB - This article proposes a new design of an event-based dissipative asynchronous controller for the interval type-2 (IT2) fuzzy Markov jump systems (MJSs) subject to sensor saturation and actuator nonlinearity. By resorting to a generalized performance index, the H∞, passive, and dissipative fuzzy control problems are solved in a unified framework. The event-based scheme is developed for the IT2 fuzzy MJSs subject to sensor saturation and actuator nonlinearity, and the energy consumption of communication can be reduced. Moreover, the system and controller modes are asynchronous, and a hidden Markov model is employed to observe the modes of the original system. The membership-function-dependent approach is applied to analyze the stability of the closed-loop system. Finally, two examples are given to demonstrate the effectiveness of the proposed algorithms.

KW - Dissipative control

KW - event-based control

KW - hidden Markov model (HMM)

KW - interval type-2 (IT2) fuzzy Markov jump systems (MJSs)

KW - membership-function-dependent (MFD) approach

UR - https://www.scopus.com/pages/publications/85098752660

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EP - 727

JO - IEEE Transactions on Fuzzy Systems

JF - IEEE Transactions on Fuzzy Systems

IS - 3

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Event-Based Dissipative Control of Interval Type-2 Fuzzy Markov Jump Systems under Sensor Saturation and Actuator Nonlinearity

Abstract

UN SDGs

Keywords

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