Repetitive control design for vehicle lateral dynamics with state‐delay

Mohanapriya, S.; Sakthivel, R.; Almakhles, Dhafer

doi:10.1049/iet-cta.2019.1194

Cited by 12 publications

(4 citation statements)

References 24 publications

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“…Further research topics include extending the development results to other network physical systems and application scenarios, such as distributed secure control issue of automated vehicles affected by replay attacks, 54 distributed filtering issue under occurring cyber‐attacks, 55 power systems with modeling uncertainties and external disturbances, 56 repetitive control strategy for vehicle lateral dynamics, 57 and so on. Besides, we will consider attack detection strategies for UAVs systems under hybrid attack.…”

Section: Discussionmentioning

confidence: 99%

Detection and defense of time‐varying formation for unmanned aerial vehicles against false data injection attacks and external disturbance

Wang,

Liu

2023

Intl J Robust & Nonlinear

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This article investigates the detection and defense method of time‐varying formation for unmanned aerial vehicles (UAVs) against external disturbance and false data injection attacks (FDIAs). First, to detection attacks, a distributed attack identification filter is constructed for each UAV. Second, two distributed extended state observers are designed to separate and estimate external disturbances and FDIAs. Third, the distributed time‐varying formation tracking protocol and defense strategy for attacks is designed by utilizing the estimated information. The formation system is shown to asymptotically track the desired formation and trajectory and meanwhile reject the disturbance and attacks if the expected formation satisfies the feasible condition by stability analysis. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.

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Section: Discussionmentioning

confidence: 99%

Detection and defense of time‐varying formation for unmanned aerial vehicles against false data injection attacks and external disturbance

Wang,

Liu

2023

Intl J Robust & Nonlinear

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“…Remark While some results of EID‐based control systems in the presence of structured parameter uncertainties have been reported, 25 no results have been reported for the case of unstructured dynamic uncertainties. This article extends the EID approach to deal with the case where the plant has a dynamic uncertainty.…”

Section: Coordinated Design Algorithmmentioning

confidence: 96%

Analysis of equivalent‐input‐disturbance‐based control systems and a coordinated design algorithm for uncertain systems

Liu

et al. 2021

Intl J Robust & Nonlinear

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The control method based on the equivalent‐input‐disturbance (EID) estimator and the Luenberger state observer has received much attention in recent years. However, the property of EID‐based control systems is still not well investigated. A number of design procedures were proposed but lacked sufficient theoretic justification. In this article, the two‐degree‐of‐freedom nature of an EID‐based control system is revealed. Specifically, the reference‐tracking is determined by an outer loop, while the disturbance rejection and robustness is determined by an inner loop consisting of the EID estimator and state observer. The bandwidth constraints on the inner loop are analyzed for plants having zeros or poles in the open right‐half plane by using the Bode and the Poisson integral formulas. These analyses provide a theoretic justification for conventional design procedures. Further, a coordinated design algorithm is provided for the EID‐based uncertain control systems. In addition, a comprehensive comparison of the EID‐based and the disturbance observer (DOB) based control systems is conducted in the system design aspect. Lastly, comparative studies of the EID‐based and DOB‐based control methods are given for various types of plants to validate the developed design algorithm.

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“…27,28 Numerous studies have focused on the theory and applications of RC. [29][30][31] Iterative learning control (ILC), which is an effective control strategy for industrial batch or repetitive processes, is closely related to RC. ILC and RC have nearly equivalent essential features, but their formulations differ because ILC and RC were designed using different tools.…”

Section: Introductionmentioning

confidence: 99%

Preview repetitive control for linear discrete‐time periodic systems

2021

Adaptive Control & Signal

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A discrete-time preview repetitive control (PRC) scheme was proposed for linear discrete-time periodic systems that were subjected to previewable reference signals. First, the state augmentation technique was used to derive an augmented system that included future information on previewable signals. Second, a two-dimensional (2D) model was developed for the augmented system so that the control and leaning actions can be adjusted preferentially by using control gains. Sufficient conditions that guarantee the closed-loop stability of the augmented 2D systems were derived, and the design of a periodic controller with preview action and repetitive control was proposed using the linear matrix inequality approach. Finally, the effectiveness of the proposed PRC was established by using two numerical simulation examples.

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Repetitive control design for vehicle lateral dynamics with state‐delay

Cited by 12 publications

References 24 publications

Detection and defense of time‐varying formation for unmanned aerial vehicles against false data injection attacks and external disturbance

Detection and defense of time‐varying formation for unmanned aerial vehicles against false data injection attacks and external disturbance

Analysis of equivalent‐input‐disturbance‐based control systems and a coordinated design algorithm for uncertain systems

Preview repetitive control for linear discrete‐time periodic systems

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