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Abubakar Ahmad Musa, Adamu Hussaini, Cheng Qian, Yifan Guo and Wei Yu
The Internet of Things (IoT) constitutes a vast network comprising various components such as physical devices, vehicles, buildings, and other items equipped with sensors, actuators, and software. These components are interconnected, facilitating the col...
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Bo Zhang, Haixu Zhang, Sheng Yang, Shiyu Chen, Xiaoshan Bai and Awais Khan
This paper proposes a model predictive control (MPC) method based on an interconnected model to maximize the ocean wave energy extracted by a wave-energy converter (WEC) array. In the proposed method, a formally uniform interconnected model is applied to...
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Zixuan Zhang, Bo Zhang and Yunlong Wu
In the recent decade, many research efforts in robotic society have considered motion planning for maintaining connectivity in networked robotic system (NRS) by exploiting robotic autonomous mobility. On the other hand, cognitive radio (CR) in the commun...
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Xiaohui Li and Andrey V. Savkin
As a typical cyber-physical system, networked unmanned aerial vehicles (UAVs) have received much attention in recent years. Emerging communication technologies and high-performance control methods enable networked UAVs to operate as aerial sensor network...
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Wenxiao Zhao
The stochastic approximation algorithm (SAA), starting from the pioneer work by Robbins and Monro in 1950s, has been successfully applied in systems and control, statistics, machine learning, and so forth. In this paper, we will review the development of...
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Mohamed Abdelaal and Steffen Schön
This paper considers nonlinear model predictive control for simultaneous path-following and collision avoidance of connected autonomous vehicles. For each agent, a nonlinear bicycle model is used to predict a sequence of the states and then optimize them...
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Sendren Sheng-Dong Xu, Hsu-Chih Huang, Tai-Chun Chiu and Shao-Kang Lin
This paper presents a biologically-inspired learning and adaptation method for self-evolving control of networked mobile robots. A Kalman filter (KF) algorithm is employed to develop a self-learning RBFNN (Radial Basis Function Neural Network), called th...
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Hongjun Wang, Zhuoqun Zhao and Tao Li
This paper investigates the problem of the task-space synchronization control for networked Euler-Lagrange systems. In the considered systems, there are time-varying delays existing in the networking links and every subsystem contains uncertainties in bo...
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Aman Kaur, Michael Corsar and Bingyin Ma
Due to extreme environmental loadings and aging conditions, maintaining structural integrity for offshore structures is critical to their safety. Non-destructive testing of risers plays a key role in identifying defects developing within the structure, a...
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Isidro Calvo, Oscar Barambones, Ander Chouza, Steven Abrahams, Geert Beckers, Dieter Slechten and Javier Velasco
This study analyzed the application of the XBee technology for control applications embedded in big machinery. In particular, it presented the control layout, topology, design of frames, and error control mechanisms that are required for implementing wir...
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