Article
Computer Science, Information Systems
Anqi Meng, Xiaozheng Gao, Yao Zhao, Zhanxin Yang
Summary: Unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) system is crucial for future wireless networks due to the flexibility of UAV deployment and the dominance of Line-of-Sight (LoS) channels. This article investigates the 3-D trajectory of the UAV and transmission scheduling of ground devices (GDs) in the UAV-enabled IoT system. The goal is to maximize the minimum expected amount of transmitted data while considering fairness among GDs. An effective iterative algorithm is proposed to solve the optimization problem.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Aerospace
Judith Rosenow, Gong Chen, Hartmut Fricke, Xiaoqian Sun, Yanjun Wang
Summary: Air traffic trajectory optimization is a complex problem that involves considerations of operational, economical, environmental, political, and social factors, which vary across continents and may change during a single flight. Analysis of historical flight track data from China and Europe reveals significant differences in routing structure, leading to efforts to optimize reference trajectories for increased efficiency of continental air traffic flows.
Article
Engineering, Aerospace
Julien Lavandier, Arianit Islami, Daniel Delahaye, Supatcha Chaimatanan, Amir Abecassis
Summary: This paper presents a methodology to minimize airspace congestion of aircraft trajectories based on slot allocation techniques. A selective simulated annealing algorithm is developed to target the most relevant aircraft and reduce the disorder of aircraft speed vectors. The proposed algorithm was implemented and tested on simulated trajectories generated with real flight plans over French airspace with 8800 flights.
Article
Engineering, Civil
Te Chen, Yingfeng Cai, Long Chen, Xing Xu
Summary: To ensure the driving safety, comfort, stability, and high mobility of emergency rescue vehicles, a trajectory and velocity planning method based on segmented three-dimensional quartic Bezier curve is proposed. The method uses a three-dimensional Bezier curve for vehicle trajectory planning and considers the actual characteristics of emergency rescue vehicles. The results show that this method effectively improves the mobility of trajectory planning results, enhances lane-changing efficiency, and reduces lane-changing time while ensuring the design objectives of vehicle safety, comfort, and stability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Lei Yang, Wenbo Li, Simin Wang, Zheng Zhao
Summary: This research designed the Inverted Crown-Shaped Arrival Airspace (ICSAA) and its operational procedures to support Omni-directional CDO, and generated optimal conflict-free trajectories through a multi-objective trajectory optimization model, achieving Pareto solutions of minimal fuel consumption and trip time. The effectiveness of CDO performance improvement and computational efficiency in different scenarios were verified in this study.
Article
Automation & Control Systems
Yu-Wen Chen, Ming-Li Chiang, Li-Chen Fu
Summary: In this article, a new 3-D maneuver controller for nonlinear multiagent systems with nonholonomic constraint and saturated control is proposed. The controller is designed under a distributed communication topology and is more flexible and efficient for general formation maneuver tasks. The saturation design generates control inputs within given bounds, making it more applicable in practice. The proposed control also considers the heading angles of the agents, achieving a more natural tracking movement aligning the heading of the formation to the direction of the reference trajectory.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Himanshu Gupta, Om Prakash Verma
Summary: This study proposes a novel hybrid optimizer (HCPSOA) for unmanned aerial vehicles (UAVs) by combining Particle Swarm Optimization (PSO) and Coyote Optimization Algorithm (COA). The chaotic logistic map and dynamic weight adjustments are incorporated to enhance exploration-exploitation capabilities. The results show that HCPSOA outperforms other algorithms in accurately estimating flyable paths in complex environments.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Civil
Bin Du, Jun Chen, Dengfeng Sun, Satyanarayana Gupta Manyam, David W. Casbeer
Summary: In this paper, chance-constrained optimization is used to solve a UAV trajectory planning problem with probabilistic geo-fence, achieving the optimal trajectory while limiting collision probability. An iterative scheme is employed to ensure total collision-free trajectory over the entire time horizon, validated through numerical simulations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xian Zhang, Chenxi Liu, Mugen Peng
Summary: This paper proposes a novel trajectory design for UAV-enabled communications to provide radio coverage to terrestrial mobile users. The paper addresses the optimization problem by considering the kinematic constraints of the UAV and introduces offline and online algorithms to solve the problem. Numerical results demonstrate the effectiveness of these algorithms and show that the online algorithm achieves similar system performance with lower computational complexity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Laxmi Poudel, Wenchao Zhou, Zhenghui Sha
Summary: This study introduces two methods to address the scheduling problem of multi-robot C3DP, the dynamic dependency list algorithm (DDLA) and modified genetic algorithm (GA). Through case studies, it demonstrates the effectiveness and performance of these methods in generating print schedules and minimizing make-span.
JOURNAL OF MECHANICAL DESIGN
(2021)
Article
Engineering, Aerospace
Thomas L. Dearing, John Hauser, Xudong Chen, Marco M. Nicotra, Christopher Petersen
Summary: This paper introduces an optimal trajectory planner for spacecraft attitude transfers, comparing it with a commercial solver and demonstrating its computational efficiency and unique ability to provide feasible intermediate solutions. The results strongly indicate PRONTO as a suitable real-time optimal maneuver planner for spacecraft attitude control.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Engineering, Aerospace
Jiateng Long, Pingyuan Cui, Shengying Zhu
Summary: This paper presents a generalized method for dealing with obstacle avoidance in planetary landing missions. By introducing a trajectory direction constraint and satisfying proper constraints, the landing trajectory can be optimized effectively.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Runqi Chai, Antonios Tsourdos, Al Savvaris, Shuo Wang, Yuanqing Xia, Senchun Chai
Summary: This article presents a fast chance-constrained trajectory generation strategy that incorporates convex optimization and convex approximation techniques to solve the unmanned vehicle path planning problem. The proposed approach effectively handles probabilistic constraints and has been validated through numerical results from multiple case studies. Comparative studies demonstrate that the proposed design can generate more optimal flight paths and achieve enhanced computational performance compared to other chance-constrained optimization approaches.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Aerospace
Jianan Wang, Xiangjun Ding, Yadong Chen, Chunyan Wang, Ming Xin
Summary: This article proposes a guidance law based on impact angle control, which has the constraints of field-of-view (FOV) and dynamic tracking of impact error. It ensures that the impact error converges to zero before interception and satisfies the FOV constraint. Numerical simulations demonstrate the effectiveness of the proposed guidance law.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Zhaoxuan Liu, Jun Zhang, Yanbo Zhu, Kaiquan Cai
Summary: A waypoint-based trajectory planning framework is proposed in this article to allocate limited resources for safe separation in integrated airspace. The method reduces the scale of the problem by clustering high-risk aircraft and implementing a two-stage optimization. Empirical studies show that the proposed method effectively reduces conflicts with low cost and minimal disturbance to aircraft.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Automation & Control Systems
Adam Kaplan, Nathaniel Kingry, Paul Uhing, Ran Dai
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2017)
Article
Automation & Control Systems
Yue Zu, Unsik Lee, Ran Dai
OPTIMAL CONTROL APPLICATIONS & METHODS
(2018)
Article
Transportation Science & Technology
Yue Zu, Chenhui Liu, Ran Dai, Anuj Sharma, Jing Dong
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2018)
Article
Engineering, Aerospace
Changhuang Wan, Ran Dai, Ping Lu
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2019)
Article
Automation & Control Systems
Changhuang Wan, Gangshan Jing, Sixiong You, Ran Dai
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2020)
Article
Automation & Control Systems
Gangshan Jing, Changhuang Wan, Ran Dai
Summary: This article studies angle-based sensor network localization in a plane, and presents centralized and distributed solutions for the problem. It shows that a nondegenerate bilateration ordering with an angle fixable framework can uniquely determine the positions of sensors. The unique solution for the problem requires the framework to be angle fixable and anchors to be non-collinear. The centralized solution is formulated as a rank-constrained semidefinite program, while the distributed solution is designed based on intersensor communications. Graphical conditions and simulation examples are provided to validate the theoretical results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Yue Zu, Chenhui Liu, Ran Dai
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Nathaniel Kingry, Myungjin Jung, Evan Derse, Ran Dai
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2018)
Proceedings Paper
Automation & Control Systems
Chuangchuang Sun, Ran Dai
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
(2018)
Article
Automation & Control Systems
Chuangchuang Sun, Ran Dai, Mehran Mesbahi
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2018)
Proceedings Paper
Automation & Control Systems
Nathaniel Kingry, Logan Towers, Yen-Chen Liu, Yue Zu, Yuchen Wang, Briana Staheli, Yusuke Katagiri, Samuel Cook, Ran Dai
2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2018)
Proceedings Paper
Automation & Control Systems
Chuangchuang Sun, Ran Dai
2017 AMERICAN CONTROL CONFERENCE (ACC)
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Nathaniel Kingry, Yen-Chen Liu, Matthew Martinez, Benjamin Simon, YunQi Bang, Ran Dai
2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2017)
Proceedings Paper
Automation & Control Systems
Chuangchuang Sun, Ran Dai
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
(2017)
Article
Automation & Control Systems
Chuangchuang Sun, Ran Dai