Decentralised control for complex systems - an invited survey

Yan, Xing‐Gang; Zhang, Qingling; Spurgeon, Sarah K.; Zhu, Quanmin; Fridman, Leonid

doi:10.1504/ijmic.2014.066260

Cited by 9 publications

(4 citation statements)

References 123 publications

(116 reference statements)

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“…A Takagi-Sugeno (T-S) fuzzy model has, then, been adopted for the nonlinear large-scale system. In Yan et al (2014), a decentralized control has been recognized as a practical tool for application to large scale interconnected systems. In Zheng and Yang (2013), a decentralized quantized feedback sliding mode control design has been addressed.…”

Section: Interconnected Discrete Time Varying System 909mentioning

confidence: 99%

A gradient algorithm for the identification of interconnected discrete time varying systems

Ghoul

2019

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Purpose An identification scheme to identify interconnected discrete-time (DT) varying systems. Design/methodology/approach The purpose of this paper is the identification of interconnected discrete time varying systems. The proposed technique permits the division of global system to many subsystems by building a vector observation of each subsystem and then using the gradient method to identify the time-varying parameters of each subsystem. The convergence of the presented algorithm is proven under a given condition. Findings The effectiveness of the proposed technique is then shown with application to a simulation example. Originality/value In the past decade, there has been a renewed interest in interconnected systems that are multidimensional and composed of similar subsystems, which interact with their closest neighbors. In this context, the concept of parametric identification of interconnected systems becomes relevant, as it considers the estimation problem of such systems. Therefore, the identification of interconnected systems is a challenging problem in which it is crucial to exploit the available knowledge about the interconnection structure. For time-varying systems, the identification problem is much more difficult. To cope with this issue, this paper addresses the identification of DT dynamical models, composed by the interconnection of time-varying systems.

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Section: Interconnected Discrete Time Varying System 909mentioning

confidence: 99%

A gradient algorithm for the identification of interconnected discrete time varying systems

Ghoul

2019

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“…Due to its high robustness, sliding mode control has been extended to time delay systems with disturbances, and most of the existing results are in combination with other techniques such as LMI (Wu et al, 2014), optimal control (Nikkhah et al, 2006), adaptive control (Baek et al, 2016), decentralised control (Yan et al, 2014b), where the common goal is to present less conservative conditions to guarantee high performance of systems considered. It should be noted that sliding mode control techniques can also be used to deal with mismatched uncertainties (Ghabi, 2018;Yan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Stabilisation of time delay systems with nonlinear disturbances using sliding mode control

Mao

Mu²,

Yan

et al. 2019

IJMIC

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“…Several methods have been proposed as alternatives to classical VOC scheme. Researchers have developed direct power control which leads to direct control of active and reactive powers (Yan et al, 2014;Zhang et al, 2013;Norniella et al, 2011;Kwak et al, 2014). Control algorithms based on predictive approaches (Antoniewicz and Kazmirkowski, 2008;Zhang et al, 2013;Kwak et al, 2014;Xia et al 2012;Ramirez et al, 2014;Korelic and Jezernik, 2013) and input-output feedback linearization approaches (Gensior et al, 2009;Burgos et al, 2005) have been also developed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers

Bechouche¹,

Seddiki²,

Abdeslam³

et al. 2015

IJMIC

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This paper proposes an adaptive voltage-oriented control (VOC) with online ac filter parameters identification for three-phase voltage-source rectifier (VSR). A new method based on adaptive linear neuron (ADALINE) is first designed to identify the ac filter parameters. For accurate identification, the VSR nonlinearity are included in the ADALINE structure. Thereafter, the developed ADALINE is inserted in the VOC to realize an adaptive VOC. Thus, the decoupled terms and the proportional-integral current controller gains are updated online. Finally, the ADALINE ability to track properly the ac filter parameters is investigated by experimental analysis. It shows that the VSR nonlinearity consideration has significant influence on the resistance identification. Compared to the VOC, the enhancement of the proposed adaptive VOC is experimentally proved. The originality of this paper is the building of a VSR model including VSR nonlinearity that is suitable for implementation with ADALINE. This leads to ease implementation and accurate identification.

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Decentralised control for complex systems - an invited survey

Cited by 9 publications

References 123 publications

A gradient algorithm for the identification of interconnected discrete time varying systems

A gradient algorithm for the identification of interconnected discrete time varying systems

Stabilisation of time delay systems with nonlinear disturbances using sliding mode control

Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers

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