Sliding mode control for non‐linear networked control systems subject to packet disordering via prediction method

Lian, Bosen; Li, Jinna

doi:10.1049/iet-cta.2016.1591

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…RTTs are collected as time delays by applying the modified ping program. The probing packet size was set 32 bytes in the experiment [12]. 4.2.1.…”

Section: 2mentioning

confidence: 99%

An improved ARMA(1, 1) type fuzzy time series applied in predicting disordering

Li¹,

Zhang²

2020

NACO

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Fuzzy time series shows great advantages in dealing with incomplete or unreasonable data. But most of them are based on fuzzy AR time series model, so it is necessary to add MA variables to the fuzzy time series [10] to make it more accurate. An improved ARMA(1,1) type fuzzy time series based on fuzzy logic group relations including fuzzy MA variables along with fuzzy AR variables was proposed in this paper. To take full account of the errors, the prediction errors were added to the forecast fuzzy sets, and it made the first-order fuzzy logical relationship sets more exact. In order to verify the advantage of the proposed method, it was applied to predict the stock prices of State Bank of India (SBI) and the packet disordering from a common source host in the Northeast University to www. yahoo. com. The experimental results showed that the proposed model was more precise than other models. 2020 Mathematics Subject Classification. 62A86. Key words and phrases. Fuzzy time series; ARMA(1,1) type fuzzy time series; packet disordering.

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“…RTTs are collected as time delays by applying the modified ping program. The probing packet size was set 32 bytes in the experiment [12]. 4.2.1.…”

Section: 2mentioning

confidence: 99%

An improved ARMA(1, 1) type fuzzy time series applied in predicting disordering

Li¹,

Zhang²

2020

NACO

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“…This could lead to the problem of the use of outdated signals and packet disordering. To avoid this problem, buffer or zero-order-holder (ZOH) are introduced [26], but pitifully, the model used has not changed in [26]. Similarly, ZOH is also used in [27] and a corresponding modeling method is proposed, but [27] considers only the problem of packet dropout.…”

Section: Introductionmentioning

confidence: 99%

Chattering‐Free Sliding Mode Control for Networked Control System with Time Delay and Packet Dropout Based on a New Compensation Strategy

et al. 2019

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This paper addresses the sliding mode control problem for a class of networked control systems with long time delay and consecutive packet dropout. A new modeling method is proposed, through which time delay and packet dropout are modeled in a unified model described by one Markov chain. To avoid the chattering problem of classic reaching law, a new chattering-free reaching law is proposed. Then with a focus on the problem that controller-actuator channel network condition cannot be foreseen by the controller, a new compensation strategy is proposed, which can effectively compensate for the effect of time delay and packet dropout in controller-actuator channel. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed approach.

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