Robust H∞ control for path tracking of a quadrotor through estimation of system parameters

Monfared, Sadra Borji; Kalhor, Ahmad; Atashgah, M. A. Amiri

doi:10.1109/icrom.2016.7886761

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…High robustness Fail to control aircraft on a large scale [111], [112] Nonlinear control SMC It is based on Lyapunov stability criteria, and adjusts the error and its deviation of controlled plant to make controller move along the expected trajectory. It is designed by regulating the expectations Cartesian position and yaw angular velocity to make pitch and roll angle stability.…”

Section: Nomentioning

confidence: 99%

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Wang

Zhao

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

183

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Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the academia and industry in recent years. As an integration of the embedded systems with communication devices, computation capabilities and control modules, the UAV network could build a closed loop from data perceiving, information exchanging, decision making to the final execution, which tightly integrates the cyber processes into the physical devices. Therefore, the UAV network could be considered as a cyber physical system (CPS). Revealing the coupling effects among the three interacted components in this CPS system, i.e., communication, computation and control, is envisioned as the key to properly utilize all the available resources and hence improve the performance of the UAV networks. In this paper, we present a comprehensive survey on the UAV networks from a CPS perspective. Firstly, we respectively research the basics and advances with respect to the three CPS components in the UAV networks. Then we look inside to investigate how these components contribute to the system performance by classifying the UAV networks into three hierarchies, i.e., the cell level, the system level, and the system of system level. Further, the coupling effects among these CPS components are explicitly illustrated, which could be enlightening to deal with the challenges in each individual aspect. New research directions and open issues are discussed at the end of this survey. With this intensive literature review, we try to provide a novel insight into the state-of-the-art in the UAV networks.

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Section: Nomentioning

confidence: 99%