|
|
|
|
|
Shukuan Zhang, Yunxiang Nan, Yusen Zhang, Chuan Xiang and Mai The Vu
The propulsion system for underwater vehicles, driven by a counter-rotating permanent magnet synchronous motor (CRPMSM), can enhance the operational stability and efficiency of the vehicle. Due to the influence of complex underwater flows, the load imbal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yifang Zhou, Mingzhang Pan, Wei Guan, Xinxin Cao, Huasheng Chen and Leyi Yuan
Developing high-precision vehicle longitudinal control technology guided by ecological driving represents a highly promising yet challenging endeavor. It necessitates the fulfillment of the driver?s operational intentions, precise speed control, and redu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Baocheng Zhou, Xin Su, Hongjun Yu, Wentian Guo and Qing Zhang
With the development of agricultural mechanization and information technology, automatic navigation tractors are becoming a more common piece of farm equipment. The accuracy of automatic navigation tractor path tracking has become critical for maximizing...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linling Wang, Xiaoyan Xu, Bing Han and Huapeng Zhang
In this paper, multiple autonomous underwater vehicle (multi-AUV) formation control with obstacle avoidance ability in 3D complex underwater environments based on an event-triggered model predictive control (EMPC) is proposed. Firstly, multi-AUV motion m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiyao Zhao, Bin Zhu, Yan Zhou, Peng Yao and Jiabin Yu
This paper solves the problem of cooperative path planning of multiple unmanned surface vehicles (USVs) for search and coverage tasks in water environments. Firstly, taking the search coverage problem of water surface pollutants as an example, the inform...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada and Jun-ichi Imura
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has lim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanpeng Hu, Jin Guo, Pei Ying, Guannan Zeng and Nanyu Chen
This paper explores a novel single tail tilt servomotor tri-rotor ducted vertical takeoff and landing unmanned aerial vehicle system (VTOL-UAV), and proposes a compound control method combining disturbance observer, model predictive control (MPC) and sli...
ver más
|
|
|
|
|
|
|
|
|
|
|
Baris Eren Perk and Gokhan Inalhan
To control unmanned aerial systems, we rarely have a perfect system model. Safe and aggressive planning is also challenging for nonlinear and under-actuated systems. Expert pilots, however, demonstrate maneuvers that are deemed at the edge of plane envel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hideki Ogawa and Yasutake Takahashi
Reservoir computing refers to a computational framework based on recurrent neural networks that can process time-series data. In an echo state network (ESN), which is a type of reservoir computing framework, the reservoir consists of a recursive network ...
ver más
|
|
|
|
|
|