Water quality prediction methods forecast the short-or long-term trends of its changes, providing proactive advice for preventing and controlling water pollution. Existing water quality prediction methods typically fa...
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As long as a computer system is connected to the Internet, it is susceptible to attack as a victim. In computer networks, it becomes important to manage the network based on parameters such as network size and network...
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作者：
Hussien, Mohamed G.Cao, LinglingIslam, Md. Rabiul
School of Mechanical Engineering and Automation Shenzhen China Tanta University
Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt University of Wollongong
School of Electrical Computer and Telecommunications Engineering Faculty of Engineering and Information Sciences Wollongong Australia
The purpose of this study is to construct a sensorless vector control system for an induction motor (IM) with a promising split-source inverter (SSI) arrangement, along with an effective speed estimation approach. Ind...
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The accurate forecasting of electrical load in short-term intervals is crucial for the efficient and secure operation of modern power systems. The dynamic nature of energy demand necessitates sophisticated forecasting...
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In this article, a system has been designed using the Internet of Things and machine learning to detect equipment theft, monitor the entry and exit of people, as well as monitor people's activities to prevent equi...
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Deep echo state networks (Deep-ESNs) play an important role in fault diagnosis. However, due to its limitation in the iterative process of dealing with nonlinear data, the accuracy of fault diagnosis is relatively low...
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This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication...
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This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication *** transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear *** the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observerbased controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.
The problem of achieving performance-guaranteed finite-time exact tracking for uncertain strict-feedback nonlinear systems with unknown control directions is addressed. A novel logic switching mechanism with monitorin...
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Unstructured Numerical Image Dataset Separation (UNIDS) method employing an enhanced unsupervised clustering technique. The objective is to delineate an optimal number of distinct groups within the input grayscale (G-...
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One of the most important issues related to chaotic systems is the chaos control problem, which is mainly aimed at stabilizing an unstable periodic orbit. The approach of this paper is to present different methods of ...
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