H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

Zhang, Zhiming; Zheng, Wei; Xie, Ping; Sun, Fuchun; Li, Xiaolei; Wen, Shuhuan

doi:10.1007/s00521-020-04826-6

Cited by 8 publications

(3 citation statements)

References 46 publications

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“…[32, 33] used T‐S fuzzy model approximation to the nonlinear model to study the problem of tracking control and disturbance rejection for the nonlinear system subjected to unknown exogenous disturbances and time‐varying delay. [34] studied the

{H}_{\infty }

stability analysis and dynamic output feedback controller of a T‐S fuzzy discrete NCS with time‐varying communication delay and multi‐path packet dropouts. Zhao [35] used T‐S fuzzy model to represent nonlinear NCSs and studied the robust stability of discrete nonlinear control systems.…”

Section: Introductionmentioning

confidence: 99%

An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization

Liu,

Tang,

et al. 2023

Asian Journal of Control

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Networked control system (NCS) is widely used in various fields, but the nonlinear of the controlled plants and the limited network bandwidth bring stability issues, which will affect the performance or even instability of the NCS. To address these aforementioned challenges, this paper proposes a novel nonlinear NCS framework, by considering network‐induced delay, adaptive event‐triggered mechanism, state quantization, control input quantization, and external disturbance based on T‐S fuzzy model. Also, based on this framework, we derive an stability criterion for NCS using linear matrix inequality and propose a collaborative design method for event triggers and controllers. Finally, we verify the superiority and effectiveness of the method by giving two numerical examples.

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{H}_{\infty }

Section: Introductionmentioning

confidence: 99%

An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization

Liu,

Tang,

et al. 2023

Asian Journal of Control

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“…With the rapid development of computer and network technology, networked control systems have become increasingly available in industrial control applications. [1][2][3][4][5] With the advantages of networked control system, such as low maintenance costs, high flexibility and easy reconfigurability, it has been of prime concern to researchers. [6][7][8][9][10] For example, a robust H ∞ adaptive fuzzy controller is designed for networked control system with time-varying delay and data packet dropouts.…”

Section: Introductionmentioning

confidence: 99%

Model‐free adaptive tracking control for networked nonlinear systems with data dropout

Wang

2021

Intl J Robust & Nonlinear

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The data-driven tracking control problem is investigated for networked nonlinear systems subjected to data dropout. The desired time-varying output trajectory is considered in this article, which is more general than the constant trajectory. In order to improve the tracking performance, the change rate of tracking error is additionally introduced to the performance index to design model-free adaptive controller. Accordingly, more adjustable parameters are introduced into the controller. With the help of the approximation ability of RBFNN, an RBFNN estimation algorithm is designed to compensate for the adverse effects of data dropout. It is shown that the proposed controller can guarantee the system output to track the desired time-varying output trajectory.Finally, two numerical simulations are provided to illustrate the effectiveness of the proposed approach.

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“…Networked systems (NSs) consist of several interconnected subsystems, which are connected via the shared communication channel (CC) [15][16][17]. On the one hand, NSs have some excellent advantages, for instances, low installation and maintain costs, simplification of system wiring, high system flexibility, and so on [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Impulsive State Estimation for Nonlinear Systems with Redundant Communication Channels and Markov Delay

Rao¹,

Guo²,

Kuang³

et al. 2021

Preprint

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The state estimation issue for the discrete-time nonlinear systems with Markov delay is investigated in this paper, where the redundant communication channel is considered to ensure the reliability of transmission. Because the channel capacity is limited, the packet dropout conditions of the main channel and the redundant channel are described by the Bernoulli stochastic variables. In addition, a mode-dependent estimator is proposed based on the current state and the delayed state, simultaneously. Combining with the impulsive control strategy, the efficiency of estimator is improved. An augmented estimation error system is proposed to deal with the Markov delay in the nonlinear system, subsequently, a sufficient condition that ensures the asymptotic stability of the augmented error system is obtained by a constructed Lyapunov functional candidate and the gains of the impulsive estimator are derived. Finally, a numerical example of moving vehicle is utilized to illustrate the developed results.

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H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

Cited by 8 publications

References 46 publications

An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization

An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization

Model‐free adaptive tracking control for networked nonlinear systems with data dropout

Impulsive State Estimation for Nonlinear Systems with Redundant Communication Channels and Markov Delay

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H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

Cited by 8 publications

References 46 publications

An adaptive event‐triggered H∞control framework for nonlinear networked control systems with dual‐channel quantization

An adaptive event‐triggered H∞control framework for nonlinear networked control systems with dual‐channel quantization

Model‐free adaptive tracking control for networked nonlinear systems with data dropout

Impulsive State Estimation for Nonlinear Systems with Redundant Communication Channels and Markov Delay

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An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization

An adaptive event‐triggered H_∞control framework for nonlinear networked control systems with dual‐channel quantization