Submerged plants play a vital role in improving water quality and controlling algal blooms in rivers, serving as the foundation for maintaining aquatic biodiversity. In this review, we explore the functions of submerg...
详细信息
Finite Set-Model Predictive control (FS-MPC) based torque and flux control (popularly known as PTC) is one of the advanced control techniques used for the adjustable speed operation of industrial drives. This control ...
详细信息
Aiming at the problems of system inertia reduction and frequency modulation capacity reduction caused by large-scale wind power replacing some traditional generators, a multi-time scale coordinated control strategy of...
详细信息
Microclimate within the canopy and at the plant surface can have a significant influence on the physiological processes of plants, as well as on the epidemiology of pathogens. Assessing greenhouse climate parameters, ...
详细信息
ISBN:
(纸本)9781713872344
Microclimate within the canopy and at the plant surface can have a significant influence on the physiological processes of plants, as well as on the epidemiology of pathogens. Assessing greenhouse climate parameters, canopy microclimate and leaf surface microclimate is essential for developing greenhouse climate control strategies. Considering the canopy as a heterogenous porous medium and using the heat transfer theory, we developed a one-dimensional coupled elliptic system for control purposes to describe the air canopy and crop temperature, and established the existence and uniqueness of the solutions. The corresponding numerical model was derived within the finite difference framework. Simulations were conducted to evaluate the capability of the model to replicate canopy temperature for two arrangements of crops species under different behaviour and environment.
The dynamic-memory event-triggered control problem for networked control systems is investigated in this paper. Firstly, a dynamic-memory event-triggered scheme (DMETS) is proposed to reduce the unnecessary data trans...
The dynamic-memory event-triggered control problem for networked control systems is investigated in this paper. Firstly, a dynamic-memory event-triggered scheme (DMETS) is proposed to reduce the unnecessary data transmission. Then, a unified event-triggered control system model is established by applying the DMETS to linear system with time delay. Further, the asymptotic stability criteria are developed by constructing appropriate Lyapunov functional, and the design approach of controller is presented by using linear matrix inequality technology. Finally, the effectiveness of controller and the advantages of DMETS are verified by giving illustrative examples.
The fault simulation of satellite control subsystem is an important part of the satellite fault simulation verification platform. It adopts the international standard modeling and simulation universal interface FMI, a...
详细信息
In this paper, a robust coordinated compliance control is addressed to realize position/force tracking for dual-arm cooperative robots. The control strategy combines sliding mode control with impedance control to comp...
详细信息
Aiming at the problem of diversified and time-varying data in industrial energy forecast, an incremental least squares support vector regression model based on approximate Gaussian kernel mapping and knowledge transfe...
详细信息
Aiming at the problem of diversified and time-varying data in industrial energy forecast, an incremental least squares support vector regression model based on approximate Gaussian kernel mapping and knowledge transfer is proposed. Firstly, an incremental learning method based on historical parameter transfer is designed, which is applied to single output and multiple output least squares support vector regression models respectively. It can update the prediction model quickly and meet the requirements of real-time. In order to further improve the prediction accuracy, the approximate Gaussian kernel mapping based on Taylor series theory is used to extend the proposed model to the nonlinear case, which effectively solves the problem of kernel matrix storage. At the same time, the training process is optimized through Sherman-Morrison-Woodbury (SMW) formula, which improves the solution efficiency in enhancing the flexibility of the model. Experiments on industrial energy data show that the proposed method can improve the adaptive ability and prediction accuracy of the model, and improve energy efficiency. (c) 2023 Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license
This paper presents the real-world experiments on the acoustic detection of small unmanned aerial vehicles (UAVs). To achieve the accurate detection of the small UAVs, a series of data processing steps including harmo...
详细信息
Path tracking accuracy is crucial in the navigation control of autonomous mobile robots. Traditional pure pursuit algorithms perform well on smooth paths but struggle on curved paths. To address the challenge of track...
详细信息
暂无评论