Data dropout compensation for networked control systems under a new parallel-triggering approach

Soltaninejad, Moein; Ghiasi, Amir Rikhtehgar; Sivrioğlu, Selim

doi:10.1016/j.jfranklin.2022.12.039

Cited by 5 publications

(1 citation statement)

References 39 publications

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“…The convergence of advanced computing, communication, and sensing technologies has not only made computational resources more cost-effective and accessible, but has also revolutionized the design of control engineering systems, enabling the implementation of sophisticated estimation techniques in complex systems [8]. This transformation has fostered the development of networked systems like networked control systems [9], wireless sensor networks [10], and cyber-physical systems (CPSs) [11]. In comparison to traditional control systems, these communication network-based systems offer enhanced reconfigurability and scalability.…”

Section: Introductionmentioning

confidence: 99%

Variable step‐size estimation over UDP‐based wireless networks with application to a hydrogen‐powered UAV

Liang,

Cai,

Xia

et al. 2024

IET Control Theory & Appl

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In this paper, the problem of state estimation for systems over wireless networks using user datagram protocol is focused on. It is known that for such a system, the probability density function of the system state follows a Gaussian mixture model (GMM), and the number of components in this model grows exponentially over time, which makes the computation of optimal estimates infeasible. To compute optimal estimates, based on Kullback‐Leibler divergence, a strategy with variable step‐sizes to truncate and fuse the GMM is proposed. Based on the obtained GMM, a variable step‐size estimator is designed to compute optimal estimates during an estimation cycle. The advantages of the proposed estimator are twofold: (1) its estimation performance is superior to that of existing one‐step fast estimators; (2) its estimation efficiency is much higher than that of the optimal estimator. Finally, trajectory tracking has been proposed for a real‐world hydrogen‐powered unmanned aerial vehicle to show the effectiveness of our methods.

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