|
|
|
|
|
Yongyong Zhao, Jinghua Wang, Guohua Cao and Xu Yao
This study introduces a reduced-order leg dynamic model to simplify the controller design and enhance robustness. The proposed multi-loop control scheme tackles tracking control issues in legged robots, including joint angle and contact-force regulation,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Mu, Wenhao Yu, Zhongxing Li, Changjun Wang, Guangming Zhao, Wenhui Zhou and Mingyue Ma
This work designed a motion planning algorithm for autonomous vehicles in unanticipated obstacle scenarios. In standard driving scenarios, the proposed motion planning algorithm plans a trajectory that complies with intersection regulations, including la...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Xiaobin Qian, Helong Shen, Yong Yin and Dongdong Guo
In this paper, we present a novel nonlinear model predictive control (NMPC) algorithm based on the Laguerre function for dynamic positioning ships to solve the problems of input saturation, unknown time-varying disturbances, and heavy computation. The no...
ver más
|
|
|
|
|
|
|
|
|
|
|
Etienne Saloux
This paper summarizes the results of a Special Issue focusing on the practical applications of model predictive control and other advanced control methods in the built environment. This Special Issue contains eleven publications and deals with various to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenhao Li, Xianxia Zhang, Yueying Wang and Songbo Xie
Model predictive control (MPC), an extensively developed rolling optimization control method, is widely utilized in the industrial field. While some researchers have incorporated predictive control into underactuated unmanned surface vehicles (USVs), mos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers and Jian-Qiao Sun
The Delta robot is an over-actuated parallel robot with highly nonlinear kinematics and dynamics. Designing the control for a Delta robot to carry out various operations is a challenging task. Various advanced control algorithms, such as adaptive control...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weilin Yang, Tianjing Shen, Tinglong Pan, Guanyang Hu and Dezhi Xu
In this paper, the consensus control of unmanned surface vehicles (USVs) is investigated by employing a distributed model predictive control approach. A hierarchical control structure is considered during the controller design, where the upper layer dete...
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
|
|
|
|
|
|
|
|
|
|
|
Zhenquan Zhang, Jian Qin, Dengshuai Wang, Shuting Huang, Yanjun Liu and Gang Xue
In this paper, a variable damper is proposed to regulate the efficiency of a two-body wave energy converter (WEC) with mechanically driven power take-off (PTO). The variable damper introduces logic constraints into the WEC system, which can be translated...
ver más
|
|
|
|
|
|