This paper focuses on developing an anti-windup compensator using a guaranteed cost control (GCC) approach. The aim is to ensure stability in the closed-loop discrete-time system with time delay by employing a quadrat...
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This study presents a comprehensive finite element analysis of a novel in-wheel switched reluctance motor (IWSRM) design optimised for electromagnetic drive applications. The main advantage of IWSRM in automotive prop...
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The task of enabling a multi-agent system for entrapping and escorting static/dynamic targets in the context of cluster space control is addressed. The proposed methodology consists of two main strategies. On one hand...
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In robotics, aerospace, and electromechanical applications, it is common practice to break the dynamics into two timescales for analysis and control design. In modern applications, the observer-based control design ha...
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ISBN:
(纸本)9798350308266;9798350308259
In robotics, aerospace, and electromechanical applications, it is common practice to break the dynamics into two timescales for analysis and control design. In modern applications, the observer-based control design has gained much attention to enhance the reliability of closed-loop control. In this article, we have proposed high- gain observer-based output feedback control (OFC) for a class of nonlinear two-time-scale systems that only assumes the knowledge of the output of the system in each timescale and estimates the remaining slow and fast states simultaneously, which was not the case in the existing literature. By the virtue of the separation principle in high-gain observers, the control and observer designs can be carried out separately and then can be implemented simultaneously on the system. The proposed OFC strategy is implemented on a class of nonlinear electromechanical systems. The MATLAB-based numerical simulation results show the efficiency of the proposed high-gain observer in OFC.
A model describing glitch disturbances is introduced and analysed. The model is used to find the response of glitch disturbances when adding a periodic dither to the input and applying low-pass filtering to the output...
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The research focus of this paper is on the organic combination of autonomous navigation algorithm and environmental perception technology, with the aim of enhancing the autonomous navigation capability of intelligent ...
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Single-phase Dual Active Bridge (DAB) is widely used in renewable energy systems due to its bidirectional energy flow and simple topology. The Dual Active Bridge (DAB) converter, has a symmetrical structure and common...
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This article introduces the demand for domestically produced components in key projects and the current situation of domestically produced components. It discusses the challenges faced by life evaluation technology fo...
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Unmanned aerial vehicles (UAVs) have shown great potential in live video streaming applications, especially in surveillance and reconnaissance. However, ensuring high quality of service (QoS) remains a challenge due t...
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ISBN:
(纸本)9798350387414
Unmanned aerial vehicles (UAVs) have shown great potential in live video streaming applications, especially in surveillance and reconnaissance. However, ensuring high quality of service (QoS) remains a challenge due to the dynamic nature of wireless channels. In this paper, we tackle the crucial challenge of energy-efficient and secure UAV-enabled live video streaming. To maximize long-term energy efficiency, we propose a cross-layer optimization framework that coordinates the adjustment of video coding parameters, wireless resource allocation, and UAV trajectory planning. We formulate the joint optimization as a constrained Markov decision process (CMDP) to capture the complex interdependencies between video quality, energy usage, and security risks. We introduce a new performance metric that captures the trade-off between video quality and energy consumption. The core of our method is a customized first-order constrained policy optimization, which efficiently handle complex real-world constraints like UAV battery capacities and end-to-end transmission delays. Our approach achieves scalability and sample efficiency with minimal gradient information. Through extensive system modeling and simulations under various network conditions, we validate the effectiveness of the proposed method compared with existing reinforcement learning algorithms.
Millimeter-wave fixed wireless systems and optical fiber converged network is proposed with their link design and control strategy. The environmental sensors attached to the FWSs are utilized for the link performance ...
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