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Ultimately Bounded Output Feedback control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1566-1578页

作者： Yuhan Zhang Zidong Wang Lei Zou Yun Chen Guoping Lu the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the Department of Computer Science Brunel UniversityUB83PHUnited Kingdom the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the School of Automation Hangzhou Dianzi UniversityHangzhou 310018China the School of Electrical Engineering Nantong UniversityNantong 226019China

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.

关键词： Buffer-aided strategy neural networks nonlinear control output-feedback control unreliable communication channel

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Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm

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High Technology Letters 2023年第2期29卷 113-121页

作者：王伟峰 YANG Bo LIU Hanfei QIN Xuebin School of Safety Science and Engineering Xi’an University of Science and TechnologyXi’an 710054P.R.China School of Electrical and Control Engineering Xi’an University of Science and TechnologyXi’an 710054P.R.China

Target recognition and tracking is an important research filed in the surveillance *** target recognition and tracking is to track moving objects, however, for the detected moving objects the specific content can not be *** this paper, a multi-target vehicle recognition and tracking algorithm based on YOLO v5 network architecture is *** specific content of moving objects are identified by the network architecture, furthermore, the simulated annealing chaotic mechanism is embedded in particle swarm optimization-Gauss particle filter *** proposed simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm(SA-CPSO-GPF) is used to track moving *** experiment shows that the algorithm has a good tracking effect for the vehicle in the monitoring *** root mean square error(RMSE), running time and accuracy of the proposed method are superior to traditional *** proposed algorithm has very good application value.

关键词： vehicle recognition target tracking annealing chaotic particle swarm Gauss particle filter(GPF)algorithm

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A 935-953-MHz Q-Enhanced CMOS Tunable Bandpass Filter With Ultra-Narrowband and Ultralow Power for RFID Applications

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IEEE Transactions on Microwave Theory and Techniques 2024年第10期72卷 6120-6129页

作者： Hou, Yaru Li, Kun Liu, Bin Zeng, Tiantian Liu, Yuanan Chi, Pei-Ling Yang, Tao University of Electronic Science and Technology of China School of Electronic Science and Engineering Chengdu Sichuan610054 China Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing100876 China National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu300 Taiwan

A Q-enhanced CMOS tunable bandpass filter (BPF) with ultra-narrow bandwidth and ultralow dc power consumption for radio frequency identification (RFID) devices is proposed using 55-nm bulk CMOS technology in this article. The proposed filter is constructed by a capacitively coupled LC resonator (LCC), which consists of a 16-nH on-chip integrated inductor, fixed capacitors, and tunable varactors. nMOS cross-coupled transistors are used to compensate for the loss of the resonator and improve the loaded Q of the resonator. To achieve low power consumption, an inductor with an ultralarge value is exploited to reduce the loss of the resonator. Besides, an improved dual varactor inverse (DVI) and degenerated resistors at the source of the cross-coupled transistors with linearity and resistance adjusting, respectively, are utilized to optimize the linearity under center frequency tuning. Besides, the active circuits, the fixed capacitance, and varactors are placed inside the inductor to improve the integration. With all the proposed techniques, the presented BPF achieves a 935-953-MHz center frequency tuning range with a constant narrow bandwidth of 180 kHz, a low power consumption of 85-μW , and a core area of 0.43\times0.43 mm2, demonstrating a high-performance tunable on-chip filter using bulk CMOS technology for low-power and narrowband Internet of Things (NBIoT) applications. © 1963-2012 IEEE.

关键词： Bandpass filters

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Leveraging Data Fitting and Trust Assessment to Improve the Security of Industrial Networks 43

Leveraging Data Fitting and Trust Assessment to Improve the ...

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43rd Chinese control Conference, CCC 2024

作者： Zhang, Heng Wang, Yinchu Xue, Yawen Deng, Ruilong Li, Hongran Zhang, Jian Jiangsu Ocean University School of Computer Engineering China Zhejiang University College of Control Science and Engineering China

ISBN: (纸本)9789887581581

Industrial network control systems (INCSs) are easy to be targeted by attackers due to their high economic value. Most of the existing defense methods are deployed at the network boundary, which causes high-security risks to INCS once an attacker enters the system. In addition, many existing intrusion detection systems (IDSs) build detection models based on historical data. When INCS lacks sufficient historical data, it is difficult to build detection models with high accuracy. In this paper, we propose a trust assessment model for INCS based on Fourier series fitting employing concept of zero trust to assess the real-time trust of INCS. The model alerts when INCS has low trust. We test two data injection attacks in the experiment to prove the effectiveness of our approach. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Network intrusion

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A 0.75 to 1.5 GHz Reconfigurable Diplexer With Independently controllable Center Frequency and Insertion Phase

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IEEE Transactions on Circuits and Systems II: Express Briefs 2024年第4期71卷 1924-1928页

作者： Yi, Chengfei Chen, Xiong Chi, Pei-Ling Yang, Tao The School of Electronic Science and Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China The Department of Electrical and Computer Engineering National Chiao Tung University Hsinchu300 Taiwan

A novel reconfigurable diplexer with independently controllable center frequency and insertion phase is proposed in this brief. It simply consists of six coupled resonators and two non-resonating-nodes (NRNs). These six resonators are arranged in two triplet topologies and construct two typical third-order filters, forming the lower and upper channels in the diplexer, respectively. The NRNs are loaded at the receiver (RX) and transmitter (TX) ports. With the utilization of NRNs, the insertion phases of the upper and lower channels in the diplexer can be independently controlled. Optimization technique is used to obtain the coupling matrix of the diplexer, in which the NRN is considered to achieve a prespecified insertion phase. To validate the proposed idea, a microstrip prototype is fabricated and measured. Experiment results show that the center frequencies of lower and upper channels can be tuned from 0.75 GHz to 0.98 GHz, and from 1.23 GHz to 1.5 GHz, respectively. The insertion phases of both channels can be independently tuned from 0 to 120 degrees at each frequency tuning state. © 2023 IEEE.

关键词： Resonators

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Output-Feedback Adaptive Neural Network control for Uncertain Nonsmooth Nonlinear Systems With Input Deadzone and Saturation

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IEEE Transactions on Cybernetics 2023年第9期53卷 5957-5969页

作者： Zong, Guangdeng Xu, Qian Zhao, Xudong Su, Shun-Feng Song, Limei Tiangong University School of Control Science and Engineering The Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tianjin300387 China Tiangong University School of Control Science and Engineering Tianjin300387 China Qufu Normal University School of Engineering Rizhao276826 China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian116024 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan

Nonsmooth nonlinear systems can model many practical processes with discontinuous property and are difficult to be stabilized by classical control methods like smooth nonlinear systems. This article considers the output-feedback adaptive neural network (NN) control problem for nonsmooth nonlinear systems with input deadzone and saturation. First, the nonsmooth input deadzone and saturation is converted to a smooth function of affine form with bounded estimation error by means of the mean-value theorem. Second, with the help of approximation theorem and Filippov's differential inclusion theory, the given nonsmooth system is converted to an equivalent smooth system model. Then, by introducing a proper logarithmic barrier Lyapunov function (BLF), an output-feedback adaptive NN strategy is set up by constructing an appropriate observer and adopting the adaptive backstepping technique. A new stability criterion is established to guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB). Finally, comparative simulations through Chua's oscillator are offered to verify the effectiveness of the proposed control algorithm. © 2013 IEEE.

关键词： Stability criteria

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Development and Implementation of a Smart Aquarium controller for Optimized Environmental Monitoring and Management 2

Development and Implementation of a Smart Aquarium Controlle...

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2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2024

作者： Mathav, Roopesh Madheshwaran Rithesh, Naga Ra, Nawin Kumba, Krishna School of Computer Science & Engineering Vellore Institute of Technology Chennai India School of Electrical Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350388664

The proposed research aims to simplify the process of maintaining and monitoring aquariums. Automated operations like temperature, light, and water level monitoring can be performed using the Arduino NANO. The three primary functions of this work includes light control, water level monitoring, and temperature monitoring. A feature of Wi-Fi is remote control;the Wi-Fi module serves as a server and connects to the Arduino serial port and a computer via a local Wi-Fi network. Through the personalized website, you can monitor and control the Arduino. You may adjust the light and see the current water temperature and level through the interface. The LCD panel shows the percentage of water level and the temperature reading. The system can be extended to monitor carbon dioxide (CO2) levels in planted aquariums, which is crucial for plant health. Furthermore, ammonia and pH levels will be monitored to prevent harmful conditions for fish and other aquatic creatures. © 2024 IEEE.

关键词： Wi-Fi

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Wideband Slot Antenna Array with Stable Low Sidelobe Performance

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IEEE Antennas and Wireless Propagation Letters 2025年第5期24卷 1248-1252页

作者： Zhang, Fengyuan Zhang, Hanlin You, Qingchun Huang, Jifu Ningbo University Faculty of Electrical Engineering and Computer Science Zhejiang Ningbo315211 China University of Birmingham School of Engineering B15 2TT United Kingdom

This letter presents a dispersion compensation method that integrates a comb-shaped slow-wave structure with a defected ground structure (DGS) to achieve wideband low-sidelobe performance. This method effectively ensures phase balance within the feed network, achieving a stable low sidelobe level over a wide frequency range. A prototype planar array antenna operating in the 21.6-30.8 GHz range was designed, fabricated, and measured. The experimental results demonstrate that the antenna achieves a fractional bandwidth (FBW) of 35.1%, with the first sidelobe level maintained below -21 dB across the entire band and a fluctuation confined within ±1.3 dB. © 2002-2011 IEEE.

关键词： Defected ground structures

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A Host-based Intrusion Detection: Using Signature-based and AI-driven Anomaly Detection for Enhanced Cybersecurity∗ 4

A Host-based Intrusion Detection: Using Signature-based and ...

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4th International Conference on Digital Futures and Transformative Technologies, ICoDT2 2024

作者： Rehman, Fazalur Mushtaq, Farhan Zaman, Hafsah National University of Sciences and Technology School of Electrical Engineering and Computer Science Islamabad Pakistan Department of Electrical Engineering Taxila Pakistan

ISBN: (纸本)9798350391862

This research introduces a Hybrid Intrusion Detection System (HIDS) that merges signature-based detection, with AI-powered anomaly detection to enhance the accuracy and effectiveness of identifying cyber threats. The proposed HIDS demonstrates an ability to detect uncommon and sophisticated cyber threats with an accuracy rate of 90.37%. By combining Gradient Boosting and K-Nearest Neighbors (KNN) algorithms the system improves detection precision, speeds up response times, and expands coverage across network traffic. This comprehensive approach overcomes the limitations of traditional methods by enabling threat responses while reducing false positive rates. The study highlights the potential of integrating signature-based and AI-driven techniques to strengthen cybersecurity defences which emphasizes the benefits of this approach. When the system detects a potential threat, alerts are sent to the Security Operations Center (SOC) or Network Operations Center (NOC), with details such as nature of the threat, and the affected system. This study establishes a foundation for real-time cyber threat detection and intelligence sharing in cloud environments, with future Hybrid IDS versions operating across multiple hosts and supported by a web service for cross-platform compatibility and centralized alert system. © 2024 IEEE.

关键词： Network intrusion

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STViT+: improving self-supervised multi-camera depth estimation with spatial-temporal context and adversarial geometry regularization

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Applied Intelligence 2025年第5期55卷 1-20页

作者： Chen, Zhuo Zhao, Haimei Hao, Xiaoshuai Yuan, Bo Li, Xiu Shenzhen International Graduate School Tsinghua University Guangdong Shenzhen518055 China School of Computer Science The University of Sydney SydneyNSW2008 Australia Beijing Academy of Artificial Intelligence Beijing China School of Electrical Engineering and Computer Science The University of Queensland BrisbaneQLD4072 Australia

Multi-camera depth estimation has gained significant attention in autonomous driving due to its importance in perceiving complex environments. However, extending monocular self-supervised methods to multi-camera setups introduces unique challenges that existing techniques often fail to address. In this paper, we propose STViT+, a novel Transformer-based framework for self-supervised multi-camera depth estimation. Our key contributions include: 1) the Spatial-Temporal Transformer (STTrans), which integrates local spatial connectivity and global context to capture enriched spatial-temporal cross-view correlations, resulting in more accurate 3D geometry reconstruction;2) the Spatial-Temporal Photometric Consistency Correction (STPCC) strategy that mitigates the impact of varying illumination, ensuring brightness consistency across frames during photometric loss calculation;3) the Adversarial Geometry Regularization (AGR) module, which employs Generative Adversarial Networks to impose spatial constraints by using unpaired depth maps, enhancing performance under adverse conditions such as rain and nighttime driving. Extensive evaluations on large-scale autonomous driving datasets, including Nuscenes and DDAD, confirm that STViT+ sets a new benchmark for multi-camera depth estimation. © The Author(s) 2025.

关键词： Geometry

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