Article
Automation & Control Systems
Serdar Coskun, Cong Huang, Fengqi Zhang
Summary: This article discusses the development of cooperative adaptive cruise control under uncertainty using a model predictive control strategy. The goal is to design a predictive controller that ensures the stability of vehicles under disturbances and to test the cooperative vehicle platooning control under different disturbance scenarios. The computational effectiveness of the proposed control strategy is also verified for potential real-time deployment in next-generation cooperative vehicles.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Dimpal Janu, Sandeep Kumar, Kuldeep Singh
Summary: GCN-CSS is a novel Graph Convolution Network-based cooperative spectrum sensing methodology that adapts to the dynamic changes in the Cognitive Radio Network. The proposed model is proven to be superior in different dynamic scenarios of the wireless environment through sufficient simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Robotics
Qingcong Wu, Ying Chen
Summary: Robotic rehabilitation therapy is an important technology for helping disabled individuals recover motor abilities. Clinical studies show that involving patients' active intentions in rehabilitation training can improve the effectiveness of therapies.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Haris E. Psillakis
Summary: This article addresses the distributed adaptive neural network control problem for approximate state consensus under communication delays. It introduces novel variables called PdI consensus error variables to recast the problem as an approximate regulation one. The approach employs Radial Basis Function NNs for approximating unknown nonlinearities and proposes distributed adaptive NN control laws with Nussbaum gains to ensure approximate consensus.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Bo Xu, Xiaoyu Wang, Yu Guo, Jiao Zhang, Asghar Abbas Razzaqi
Summary: This study proposes a novel robust delay filtering algorithm for the cooperative localization of AUVs to cope with time-varying delay and non-Gaussian noise caused by outliers. The algorithm introduces statistical similarity measure to construct the cost function and successfully alleviates the impacts of delayed measurement with outliers on localization accuracy, as verified through lake trials.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Adil Alsuhaim, Anjan Rayamajhi, James Westall, Jim Martin
Summary: This paper investigates the string stability of a CACC platoon relying on wireless network, proposing to adjust the time headway parameter based on network reliability metric to maximize traffic flow efficiency while maintaining platoon stability. The findings suggest that careful adjustment of headway value according to wireless network reliability allows the platoon to maintain string-stable operation while maximizing traffic flow.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Changping Li, Ruining Huang, Ying Yi, Amine Bermak
Summary: This paper proposes a Kalman filtering algorithm to suppress vibration noise in displacement sensors and improve data accuracy. The filtering algorithm effectively reduces noise, establishes accurate correlation between resistance change and sensor displacement, enabling precise dosage monitoring.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Zhongnan Zhao, Yanli Wang, Huiqiang Wang
Summary: This study presents a trusted sensing node recommendation method based on SDN, which utilizes cross-domain collaborative filtering to identify similar credible sensing nodes and achieves better recommendation accuracy with shorter time consumption.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Rania Djehaiche, Salih Aidel, Ahmad Sawalmeh, Nasir Saeed, Ali H. Alenezi
Summary: This article proposes a better approach for IoT/M2M smart building systems by using heterogeneous wireless networks. The system utilizes multiple communication technologies and uploads data to the ThingSpeak platform for remote monitoring and control. It offers various innovative services such as smart parking, garden irrigation automation, intrusion alarm, and indoor air quality monitoring, improving safety and reducing energy consumption.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Marine
Pedro Mendes, Pedro Batista, Paulo Oliveira, Carlos Silvestre
Summary: This work presents and compares several cooperative navigation solutions for formations of autonomous underwater vehicles, equipped with depth sensors and capable of taking bearing measurements to their neighbors under a certain measurement topology. The paper describes two approaches based on the extended Kalman filter, one centralized and the other decentralized, which have different benefits. Additionally, four other Kalman filter implementations, based on systems with linear dynamics using artificial measurements, are compared in terms of performance.
Article
Biotechnology & Applied Microbiology
Wenping Wu, Wansu Liu
Summary: A bio-inspired mobile manipulator adaptive door opening strategy based on a synchronous sensing system is proposed in this paper. It realizes target detection, tracking, and control of nonlinear systems. Experimental and simulation results demonstrate the effectiveness and feasibility of the proposed method.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Yulong Huang, Mingming Bai, Youfu Li, Yonggang Zhang, Jonathon Chambers
Summary: An improved variational adaptive Kalman filter is proposed for cooperative localization, with adaptively estimated prior information and a novel alternate iteration strategy to reduce computational complexity, along with theoretical comparisons. A master-slave cooperative localization method is introduced based on the proposed approach, showing advantages in experimental results. The proposed method outperforms existing methods with a 22.52% improvement in average localization error without requiring more than twice the computational time.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Anbang Zhai, Haiyun Zhang, Jin Wang, Guodong Lu, Junjie Li, Silu Chen
Summary: This paper proposes an adaptive neural synchronized impedance controller for robotic cooperative manipulators to address the position-force synchronization tracking control problem. The method includes two non-parallel control loops to achieve desired movement trajectory and manufacturing force for the cooperation task. Experimental results demonstrate the effective convergences of both cooperative processing trajectory and force despite the uncertain environments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Civil
Srivalli Boddupalli, Akash Someshwar Rao, Sandip Ray
Summary: Cooperative Adaptive Cruise Control (CACC) is a connected vehicle application that extends Adaptive Cruise Control by utilizing vehicle-to-vehicle communication. Malicious communication can pose threats to the safety and stability of CACC. This paper presents RACCON, a novel resiliency infrastructure that employs machine learning to detect and mitigate V2V attacks on CACC, ensuring the safety of vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Telecommunications
Dan Ye
Summary: This paper proposes a novel distributed adaptive cooperative bandwidth spectrum sensing (DACB-SS) scheme to achieve optimal spectrum utilization in cognitive radio networks (CRNs) by jointly optimizing sensing bandwidth proportion, the number of cooperative SUs, and detection probability to maximize SU's spectrum efficiency. The DACB-SS algorithm also improves the sum capacity for better performance of spectrum coexistence. Simulation results show the impact of PR outage probability and coexisting secondary transmission bandwidth on spectrum usage characteristics, as well as the sum capacity influenced by channel gains, primary transmit power, and secondary transmit power in different channel models.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Ocean
Shufeng Li, Fumin Zhang, Shuxin Wang, Yanhui Wang, Shaoqiong Yang
APPLIED OCEAN RESEARCH
(2020)
Article
Automation & Control Systems
Shayok Mukhopadhyay, Fumin Zhang
Summary: This paper investigates the algorithm for computing the robust forward invariant sets of nonlinear systems, proposing a new approach for approximation calculation. The algorithm plans a path that iteratively converges to the boundary of RFIS and rigorous mathematical analysis confirms its effectiveness.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Ningshi Yao, Michael Malisoff, Fumin Zhang
Article
Engineering, Civil
Jie Sun, Shijie Liu, Fumin Zhang, Aijun Song, Jiancheng Yu, Aiqun Zhang
Summary: This article introduces a KCS approach for reconstructing acoustic fields using measurements from underwater mobile sensing platforms, which leverages the kriging method to obtain initial estimates and combines them with measurements for reconstruction. Weight coefficients for virtual samples are determined using kriging variance to differentiate between real measurements and virtual samples, resulting in improved reconstruction performance as demonstrated in simulation results and real measurements.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2021)
Article
Automation & Control Systems
Qiuyang Tao, Tun Jian Tan, Jaeseok Cha, Ye Yuan, Fumin Zhang
Summary: This paper presents modeling, identification, and control system design to reduce swing oscillation in indoor miniature autonomous blimps, with successful verification on the Georgia-Tech Miniature Autonomous Blimp.
Article
Automation & Control Systems
Carol Young, Ningshi Yao, Fumin Zhang
Summary: This article introduces an analytical framework to quantify the adaptiveness and consistency of expert based ensemble learning algorithms. By modeling the algorithms as Markov chains with properly selected states, quantitative metrics can be calculated through mathematical formulas, instead of relying on numerical simulations. Results for popular ensemble learning algorithms have been derived and the success of the method has been demonstrated in simulation and experimental results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Said Al-Abri, Tony X. Lin, Molei Tao, Fumin Zhang
Summary: In this letter, a bio-inspired derivative-free optimization algorithm is proposed for minimizing objective functions with vanishing or exploding gradients. The algorithm shows fast convergence and robustness to noisy function evaluations, and has applications in finding LQR gains for unstable systems.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Proceedings Paper
Automation & Control Systems
Tony X. Lin, Samuel Coogan, Donald A. Sofge, Fumin Zhang
2020 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA)
(2020)
Proceedings Paper
Automation & Control Systems
Landan Seguin, Justin Zheng, Alberto Li, Qiuyang Tao, Fumin Zhang
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA)
(2020)
Proceedings Paper
Automation & Control Systems
Ningshi Yao, Fumin Zhang
2020 AMERICAN CONTROL CONFERENCE (ACC)
(2020)
Proceedings Paper
Automation & Control Systems
Ningshi Yao, Michael Malisoff, Fumin Zhang
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)
(2019)
Proceedings Paper
Automation & Control Systems
Carol Young, Ningshi Yao, Fumin Zhang
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)
(2019)
Proceedings Paper
Automation & Control Systems
Mengxue Hou, Qiuyang Tao, Paul Varnell, Fumin Zhang
2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019)
(2019)
Proceedings Paper
Automation & Control Systems
Dongsik Chang, Fumin Zhang, Jing Sun
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2019)
Article
Robotics
Dongsik Chang, Catherine R. Edwards, Fumin Zhang, Jing Sun
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
(2019)