Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation

Cao, Yumeng; Xu, Ning; Wang, Huanqing; Zhao, Xudong; Ahmad, Adil M.

doi:10.1080/00207721.2023.2241959

Cited by 47 publications

(4 citation statements)

References 48 publications

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“…( 9). (9) In this regard, TP is the number of data that are correctly recognized as positive, and FN is the number of data that is falsely recognized as negative. The recall criterion is objectified according to the above scenario, and the result can be seen in Fig.…”

Section: Recall Criteriamentioning

confidence: 99%

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A Cost-Effective Method for Detecting and Tracking Moving Objects using Overlapping Methods

ZHANG

2023

IJACSA

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Overlay approaches for moving object detection and tracking have recently received attention as a crucial field for computer science and computer vision research. Using pixel overlap and visual attributes, these techniques enable the recognition and tracking of objects in movies or video data. Two color and edge features for the suggested method are presented in this article. The suggested approach uses the SED algorithm, and since the edges have a lower volume than the entire image, the processing process will be faster with the reduction of information. The characteristic of color is the HSV (hue, saturation and value) histogram because it is close to human vision. However, because the margins tidy up the shapes in the human eye, they contain important information. These concerns lead to the conclusion that the histogram of gradient angles based on regional binary patterns is the edge feature of the suggested system. There are two justifications for employing local binary patterns. First, the principal edges are emphasized by using local binary patterns. Another point is that the image produced by this method displays the image's texture; in other words, the shape's feature is taken from the context of the texture, which is regarded as a type of combination of features. Several criteria were evaluated in order to assess the suggested approach for tracking images in comparison to related systems; the most significant of these are the precision, recall, and similarity criteria. In comparison to other works, the findings for precision have generally increased accuracy by 25%, recall by 17%, and similarity by 12%.

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Section: Recall Criteriamentioning

confidence: 99%

“…There is a noticeable increase in image data globally, and that growth rate is accelerating daily. According to Information Trends, more than 1.1 trillion images were taken in 2016 with cameras and mobile devices [9]. The same forecast predicts that by 2020, this amount will have increased to $1.4 trillion.…”

Section: Introductionmentioning

confidence: 99%

A Cost-Effective Method for Detecting and Tracking Moving Objects using Overlapping Methods

ZHANG

2023

IJACSA

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“…Unfortunately, as the order of systems increases, the problem of “explosion of complexity” generated from the repeated differentiation of virtual control laws has become a significant challenge for further applications. To solve such an issue, the authors in Reference 13 designed an adaptive control protocol for nonlinear systems, in which the derivatives of virtual control laws were approximated directly by neural networks. Additionally, an adaptive dynamic surface control protocol was formulated in Reference 14 to tackle the explosion of complexity by utilizing first‐order filters.…”

Section: Introductionmentioning

confidence: 99%

Event‐based adaptive resilient control for networked nonlinear systems against unknown deception attacks and actuator saturation

Cao,

Niu,

Wang

et al. 2024

Intl J Robust & Nonlinear

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This paper investigates an event‐triggered adaptive resilient control problem for nonlinear systems against unknown false data injection and actuator saturation. The sensors of the controlled system are subject to unknown false data injection attacks so that all original states can not be directly applied in the controller design process. To address the negative effects of the false data injection attacks, attack compensators are introduced in control design. Simultaneously, a dynamic event‐triggering mechanism is set up to reduce the communication burden of the network. Furthermore, an auxiliary system is constructed to cope with the actuator saturation that commonly exists in practical systems. Based on the Lyapunov stability theory, it is demonstrated that the designed adaptive controller can guarantee the stability of the controlled system and the boundedness of all signals. The validity of the proposed control scheme is evidenced by simulation examples.

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“…Compared with other types of attacks, DoS attacks aim to disrupt and break communication network signals in a system, thus destroying the consensus of the MASs. [29][30][31] At the same time, since DoS attacks have a delaying and obstructing effect on the normal operation of a system, it is possible that the control inputs of the system will not change when the DoS attacks occurred even if the constraints of event-triggered are violated. Therefore, it becomes critical to implement consensus control of MASs in the event of malicious DoS attacks.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered distributed consensus control of nonlinear multi‐agent systems with unknown Bouc–Wen hysteresis input and DoS attacks

Guo,

Xu,

Niu

et al. 2023

Adaptive Control & Signal

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In this paper, the event‐triggered distributed consensus tracking control problem for a class of multi‐agent systems (MASs) is studied, where denial‐of‐service (DoS) attacks and Bouc‐Wen hysteresis inputs are considered in the communication channel and the actuator, respectively. First, when communication networks are subject to malicious DoS attacks, the connection weights of the communication topology graphs are affected. To address this problem, this paper establishes topological models of the communication network using a switching topology method, and gives connection recovery strategies for the communication network. Second, in order to save communication resources, a distributed control protocol based on an event‐triggered mechanism and locally deployed estimator is designed for DoS signals occurring in the communication network of states and control inputs. In addition, the effect of unknown Bouc–Wen hysteresis input is eliminated using the Nussbaum‐type function. Then, based on Lyapunov stability theory, the boundedness of all signals in the closed‐loop system is verified, and the objective of consensus control is achieved. Finally, the effectiveness of the proposed control scheme is demonstrated by numerical and practical simulation examples.

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Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation

Cited by 47 publications

References 48 publications

A Cost-Effective Method for Detecting and Tracking Moving Objects using Overlapping Methods

A Cost-Effective Method for Detecting and Tracking Moving Objects using Overlapping Methods

Event‐based adaptive resilient control for networked nonlinear systems against unknown deception attacks and actuator saturation

Event‐triggered distributed consensus control of nonlinear multi‐agent systems with unknown Bouc–Wen hysteresis input and DoS attacks

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