H∞ fuzzy PID control for discrete time-delayed T-S fuzzy systems

Wang, Yezheng; Zou, Lei; Zhao, Zhongyi; Bai, Xingzhen

doi:10.1016/j.neucom.2018.12.002

Cited by 25 publications

(19 citation statements)

References 49 publications

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“…Remark 1. It should be noted that the measured data will be transmitted to the observer when the measured data satisfy the event-triggered condition (7). Moreover, a dynamical variable ζ(k) is introduced in the triggering condition ( 7) so that each event-trigger generator can determine when transmit data in a dynamic way.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…However, with the controlled plants in modern industry becoming more and more complex, traditional PID control mechanisms may not be able to provide satisfactory control performance for complex systems. As such, many researchers have devoted to combined traditional PID control methods with other advanced control schemes to improve PID control performance [7][8][9][10]. It should be pointed out that due to the effectiveness of T-S fuzzy technology in processing nonlinear systems, much effort has been devoted to the research of nonlinear system performance under the framework of the combination of T-S fuzzy control and PID control.…”

Section: Introductionmentioning

confidence: 99%

“…It should be pointed out that due to the effectiveness of T-S fuzzy technology in processing nonlinear systems, much effort has been devoted to the research of nonlinear system performance under the framework of the combination of T-S fuzzy control and PID control. For example, in [7], the T-S fuzzy PID control problem is tackled in the framework of time domain, which greatly simplifies the description of the closed-loop system. Based on the T-S fuzzy PID control method, a novel multiloop fuzzy PID-like controller has been designed in [10] to improve the fault tolerance rate of the overall system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Observer‐Based PID Security Control for Discrete‐Time T‐S Fuzzy Systems under Distributed Dynamic Event‐Triggered Mechanism

Lin

Zhong

Shi

et al. 2022

Discrete Dynamics in Nature and Society

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This study addresses the observer-based proportional-integral-derivative (PID) security control problem for nonlinear discrete-time fuzzy systems subject to deception attacks. In order to reduce the burden of communication, a distributed dynamic event-triggered mechanism (DETM) is proposed, and each sensor node is equipped with an event-trigger generator. A new discrete-time Takagi–Sugeno (T-S) fuzzy model is established, in which both DETM and deception attacks are taken into consideration. Then, based on Lyapunov stability theory, the sufficient conditions for the input-to-state stability (ISS) are proposed, and the desired fuzzy PID controllers are given. Finally, a simulation example is provided to show the usefulness of the proposed approach.

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Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Observer‐Based PID Security Control for Discrete‐Time T‐S Fuzzy Systems under Distributed Dynamic Event‐Triggered Mechanism

Lin

Zhong

Shi

et al. 2022

Discrete Dynamics in Nature and Society

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“…As shown in Figure 7, two neurons in the input layer of the neural network correspond to the current I and the pressure P respectively. The output of the neural network is the swing speed or rotational speed that has been optimized [24]. The network adopts the triangle function as the membership function.…”

Section: Fuzzy Neural Recognition Of Coal and Rock Impedancementioning

confidence: 99%

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Liu

et al. 2021

Machines

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Aiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the working principle of roadheaders. Firstly, cylinder pressure and motor current are invoked as the criteria to judge load changes. Particle swarm optimization is utilized to optimize the cutting parameters under different impedance. Then, the relation between cutting speed, motor current and cylinder pressure is established by using fuzzy neural network to train cutting parameters and identification parameters under different conditions. Finally, the vector control of motor and electro-hydraulic servo valve is used to control the cutting speed. The results show that the cutting unit can adapt to different load signals and always keep the roadheader in the optimal working state. The rotation speed regulation of the cutting head reaches the stable state after 0.05 s, with the overshoot of 1.42%. The swing speed regulation of the cutting head reaches the stable state after 1 s, with the overshoot of 5.3%. Conclusions provide a basis for improving the cutting efficiency and prolonging the working life of the roadheader.

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“…aerospace systems, industrial control systems, telemedicine system, robot teleoperation system and network communication systems) for a variety of reasons such as equipment aging and complicated structure. In the past few decades, there has been an enormous research effort into the investigation on various kinds of time-delays including constant delays, time-varying delays, random delays, and distributed delays [19], [20], [27], [39], [46]. Apart from the timedelay phenomena, parameter uncertainties serve as another main factor that complicates the system analysis and synthesis [4], [25], [28], [37].…”

mentioning

confidence: 99%

Proportional–Integral Observer Design for Uncertain Time-Delay Systems Subject to Deception Attacks: An Outlier-Resistant Approach

Zhao

Wang

Han

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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This paper deals with the proportional-integral observer (PIO) design problem for a class of linear systems with distributed time-delays and randomly occurring parameter uncertainties. The measurement signals, transmitted from the sensors to the observer, might suffer from the randomly occurring deception attacks. The random occurrences of parameter uncertainties and deception attacks are governed by two series of Bernoulli random variables with known probability distributions. An outlier-resistant PIO is developed by introducing an innovation saturation mechanism for the sake of alleviating the adverse effects induced by the deception attacks on the estimation performance. The purpose of the addressed problem is to design a PIO that is capable of guaranteeing the meansquare boundedness of the estimation errors while achieving the desired security level. The desired PIO gain is designed by solving a matrix inequality and the validity of the results obtained is shown by a numerical simulation example.

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H∞ fuzzy PID control for discrete time-delayed T-S fuzzy systems

Cited by 25 publications

References 49 publications

Observer‐Based PID Security Control for Discrete‐Time T‐S Fuzzy Systems under Distributed Dynamic Event‐Triggered Mechanism

Observer‐Based PID Security Control for Discrete‐Time T‐S Fuzzy Systems under Distributed Dynamic Event‐Triggered Mechanism

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Proportional–Integral Observer Design for Uncertain Time-Delay Systems Subject to Deception Attacks: An Outlier-Resistant Approach

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