As a special I/O channel in the control system, the eTPU (Enhanced Time Processing Unit) cooperates with the host computer to complete the corresponding functions. As the most foundational and important function in th...
详细信息
With the rapid development and popularization of the Internet today, mechanical processing enterprises should not only adapt to new situations, but also reorganize various business processes. This article uses the Web...
详细信息
A control device for electric monorail transport vehicles based on Si1000 has been developed to improve the reliability and safety of the entire vehicle operation. This control device includes two parts: manual remote...
详细信息
The general control system of bamboo splitting machine is controlled by Programmable Logic controller (PLC), which is one of the most expensive devices in industrial automationcontrol system. For some small enterpris...
详细信息
As the cast strand moves through the secondary cooling zone in a continuous casting machine, the secondary cooling zone is typically separated into a number of zones to control the cooling rate. The secondary cooling ...
详细信息
Software Defined Networking (SDN) has brought about a revolutionary shift in network management and control. The driving force behind SDN's development is the need for enhanced network programmability and scalabil...
详细信息
AGC, also known as Load Frequency control (LFC), utilizes mathematical modeling to analyze the dynamics of power generation and load variations. Traditionally, a classical second-order system with a governor and turbi...
详细信息
Based on the time series online prediction model, this paper proposes a WE-OSELM online prediction algorithm, which can control the product life and performance in real time in the field of engine, and effectively man...
详细信息
This paper presents a comparative analysis of DNN-models, including TensorFlow Lite, SSD-MobileNet, Mask R-CNN and YOLOv8, for the high-precision detection and classification of small objects in aerial search and resc...
详细信息
Owing to the immaturity of current artificial intelligence techniques, practical multiagent systems (MASs) often require supervision and intervention from humans. However, it is unrealistic for a human to monitor the ...
详细信息
Owing to the immaturity of current artificial intelligence techniques, practical multiagent systems (MASs) often require supervision and intervention from humans. However, it is unrealistic for a human to monitor the entire MAS and provide appropriate input in some circumstances. A viable approach is to allow a human to control an agent as the leader which in turn influences the other autonomous followers. To this end, a critical issue is how to learn human behavior to improve the autonomy of followers for collaborating with human effectively, since the autonomous followers do not have prior knowledge of human behavior. In this article, the human leading behavior learning problem is studied for a class of human-in-the-loop (HiTL) MASs that are not fully connected. A linear quadratic differential game framework is applied to formulate the collaborative control problem in the HiTL MAS where the human behavior is represented as a cost function whose weighting matrix is unknown to the followers. In the HiTL MAS, we select a follower that has strong computing power called follower 1 to learn the human behavior via an online adaptive inverse differential game (IDG) approach. Based on concurrent learning (CL) technique, an adaptive law is developed for follower 1 to determine the human feedback matrix online, and at the same time the interaction strategies for the autonomous followers are also calculated by follower 1 in case of the constrained communication topology. Subsequently, the weighting matrix in the human cost function is recovered by addressing a linear matrix inequality (LMI) optimization problem. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed method.
暂无评论