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Finite-time Sliding Mode control Under Dynamic Event-triggered Scheme ⁎

IFAC-PapersOnLine 2020年第2期53卷 5069-5074页

作者： Jiarui Li Yugang Niu Bei Chen The Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education and The Shanghai Institute of Intelligent Science and Technology (Tongji University) Shanghai China The School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai 201620 China

In this work, we investigate the finite-time boundedness (FTB) problem for a class of continuous-time uncertain systems via sliding mode control (SMC) method. A dynamic event-triggered scheme is introduced to determine whether the measurement output will be transmitted. And then, a state observer is designed by means of the transmitted output information, based on which a sliding surface in the estimation space is construct. It is shown that the corresponding SMC law can drive the system trajectories onto the specified sliding surface in a finite (possibly short) time. Meanwhile, a partitioning strategy is introduced to analyze the FTB over both reaching phase and the sliding motion, respectively. Finally, a numerical simulation is given.

关键词： Sliding mode control finite-time boundedness event-triggered control external disturbance partitioning strategy

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Output Feedback Based Iterative Learning control with Finite Frequency Range Specifications via a Heuristic Approach for Batch processes with Polytopic Uncertainties ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1397-1402页

作者： Shoulin Hao Tao Liu Wojciech Paszke Hongfeng Tao Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 China School of Control Science and Engineering Dalian University of Technology Dalian 116024 China Institute of Automation Electronic and Electrical Engineering University of Zielona Góra ul. Szafrana 2 65-516 Zielona Góra Poland Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi 214122 China

For robust control and iterative optimization of industrial batch processes with polytopic uncertainties, this paper proposes a robust output feedback based iterative learning control (ILC) design in terms of finite frequency range stability specifications. Robust stability conditions for the closed-loop ILC system along both time and batch directions are first established based on the generalized Kalman-Yakubovich-Popov lemma and linear repetitive system theory. To facilitate the ILC controller design with respect to process uncertainties described in a polytopic form, extended sufficient conditions for the system stability are then derived in terms of matrix inequalities. Correspondingly, a two-stage heuristic approach is developed to iteratively compute feasible ILC controller gains for implementation. An illustrative example is given to demonstrate the effectiveness of the proposed control design.

关键词： Batch processes polytopic uncertainties output feedback iterative learning control finite frequency range design

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Regret and cumulative constraint violation analysis for online convex optimization with long term constraints

arXiv

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arxiv 2021年

作者： Yi, xinlei Li, xiuxian Yang, Tao xie, Lihua Chai, Tianyou Johansson, Karl H. School of Electrical Engineering and Computer Science and Digital Futures KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Institute for Advanced Study Tongji University Shanghai China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The cumulative constraint violation is used as the metric to measure constraint violations, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. A novel algorithm is first proposed and it achieves an O(Tmax{c,1-c}) bound for static regret and an O(T (1-c)/2) bound for cumulative constraint violation, where c ϵ (0, 1) is a user-defined trade-off parameter, and thus has improved performance compared with existing results. Both static regret and cumulative constraint violation bounds are reduced to O(log(T )) when the loss functions are strongly convex, which also improves existing results. In order to achieve the optimal regret with respect to any comparator sequence, another algorithm is then proposed and it achieves the optimal O( p T (1 + PT )) regret and an O(√T) cumulative constraint violation, where PT is the path-length of the comparator sequence. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Comparators (optical)

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Event-triggered feedback control for piecewise-affine systems via convex combination 4

Event-triggered feedback control for piecewise-affine system...

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Ma, Yifei Wu, Wei Cui, Baotong Ministry of Education Key Laboratory of Advanced Process Control for Light Industry Jiangnan University Wu Xi China

ISBN: (纸本)9781538683392

The problem of event-triggered control for discretetime piecewise-affine system with convex combination is investigated. The condition of asymptotic stability is proposed in the form of linear matrix inequalities (LMIs). The state-feedback control gain under the event-triggered strategy can be obtained by solving the LMIs. Subsequently, an optimization problem for minimizing the upper bound of quadratic cost function for quantifying the control performance are formulated. Unique state-feedback control gain under the event-triggering strategy can be obtained by solving the LMIs optimization problem. The effectiveness of our approach is illustrated by simulations of numerical example, where the number of control input updates is reduced, while the control performance is still guaranteed. © 2018 IEEE.

关键词： Linear matrix inequalities

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Gradient piezoelectric composites for ultrasonic transducer design and imaging applications

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Journal of Materiomics 2025年第6期11卷

作者： Chenxue Hou Zhaoxi Li Chunlong Fei Qibo Lin xiaofei Luo xiongwei Wei Yiheng Yang Qi Lu Yi Quan Guangzhi Dong Zeyu Chen xiaozhou Lü Weimin Bao Yintang Yang Shaanxi Provincial Key Laboratory of Integrated Circuit and System Integration Faculty of Integrated Circuit Xidian University Xi'an 710071 China The State Key Laboratory of Analog and Mixed-Signal VLSl Institute of Microelectronics University of Macau Macao 999078 China School of Aerospace Science and Technology Xidian University Xi'an 710071 China State Key Laboratory of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical Engineering Central South University Changsha 410083 China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 China Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment Changsha 410114 China School of Advanced Materials and Nanotechnology Xidian University Xi'an 710126 China Furong Laboratory (Precision Medicine) Changsha 410008 China National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology Xiangya Hospital Central South University Changsha 410008 China Hunan Engineering Research Center of Skin Health and Disease Xiangya Hospital Central South University Changsha 410008 China

Ultrasonic imaging technology has advanced rapidly, the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance. Among them, the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal. Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties. However, due to the limitations of the accuracy of the cutting process, the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations, especially in high-frequency applications, which will significantly reduce energy conversion efficiency. In this study, a novel design method of 1–3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations. Based on the optimized composites, a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared. Compared with the traditional composite transducer, the optimized transducer improves the echo voltage amplitude significantly, reaching nearly 3 times. The above advantages are further verified in high-quality ultrasound and photoacoustic imaging. The optimization method has valuable guidance for the design of high-frequency composite transducers, which have great potential in ultrasonic and photoacoustic imaging applications.

关键词： Piezoelectric composites Ultrasonic transducer Imaging applications Lateral vibration Finite element analysis

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Preface——Special Issue on New Directions in Nonlinear and Distributed control

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Journal of Systems Science & Complexity 2018年第1期31卷 1-3页

作者： LIU Tengfei xiN Bin JIANG Zhong-Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China School of Automation State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing 100081 China Tandon School of Engineering New York University Brooklyn NY 11201 USA

Nonlinearity is ubiquitous in engineering and natural *** development of nonlinear control can be traced back to decades *** date,the research has reached the stage that emphasizes developing methodologies that can ha... 详细信息

关键词：控制问题非线性分布式工程应用程序电子物理自然系统生产线相互作用

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Molecular mechanisms of acquired resistance to EGFR tyrosine kinase inhibitors in non-small cell lung cancer

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Drug Resistance Updates 2025年

作者： Zhenfang Du Hongfei Kan Jinghan Sun Yue Liu Jiahui Gu Shugela Akemujiang Yudi Zou Lufan Jiang Qinzhuo Wang Chen Li Lei Luo Yunkai Zhang Hong Fan Pengfei Luo Bo Wang Department of Genetics and Developmental Biology School of Medicine Southeast University Nanjing Jiangsu 210003 China School of Pharmacy Nanjing University of Chinese Medicine Nanjing Jiangsu 210023 China School of Life Science and Technology Southeast University Nanjing 210018 China Translational Research Cancer Institute Peking University Shenzhen Hospital Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center Shenzhen 518036 China Department of Pharmacy The First Affiliated Hospital of Xi'an Jiaotong University Xi’an Shaanxi 710048 China BioSpatula LLC Telford PA 18969 USA Department of Oncology The Central Hospital of Yongzhou Yongzhou Hunan 425002 China State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing 210023 China

Tyrosine kinase inhibitors (TKIs) have revolutionized the management of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Despite the initially favorable outcomes, these patients inevitably acquire resistance to EGFR-TKIs. The molecular mechanism of the acquired resistance is highly complex and heterogeneous, and can be generalized as three categories, including EGFR pathway reactivation (re-engagement of EGFR downstream), EGFR pathway bypass (adoption of a parallel pathway to re-engage the downstream transcriptional oncogenic output of the original EGFR), and EGFR pathway indifference (acquirement of a cellular state alternate to the original EGFR-driven output). This review summarizes the recent progress on the identification and understanding of the acquired resistance mechanisms to EGFR-TKIs in patients with NSCLC. The potential strategies to delay or overcome the acquired resistance are also discussed.

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Practical adaptive time-varying output formation tracking for high-order nonlinear multi-agent systems using neural networks

Practical adaptive time-varying output formation tracking fo...

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第三十八届中国控制会议

作者： Jianglong Yu xiwang Dong Qingdong Li Zhang Ren Ming Ma School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Shananxi Key Laboratory of Integrated and Intelligent Navigation Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Xi'an Research Institute of Navigation Technology

Practical adaptive time-varying output formation tracking problems for high-order nonlinear strict-feedback multiagent systems are investigated in this paper. The time-varying output formation tracking requires the followers' output vectors to track the output vector of the leader while achieving a time-varying formation. The dynamics of the leader and the followers can have uncertain mismatched nonlinearities while the leader's control input is also unknown. To deal with the mismatched nonlinearities, the backstepping techniques are utilized to construct the protocols. Firstly, visual controllers are designed to overcome the effects of the uncertainties while guaranteeing the stability of each layer. The complicated visual controllers are estimated by the neural networks. A full adaptive protocol is constructed with adaptive gains to avoid using the global information of the interaction topology. Then, an algorithm is presented to design the protocol, whose parameters are much less. Besides, the stability of the algorithm is proved by Lyapunov theories. Finally, simulation results are presented to prove the effectiveness.

关键词： Practical time-varying formation tracking Adaptive control High-order nonlinear dynamics Multi-agent systems Neural networks

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Bio-Syncretic Light-gated Field-Effect Transistor: Fabrication and Characterization

Bio-Syncretic Light-gated Field-Effect Transistor: Fabricati...

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IEEE Conference on Nanotechnology

作者： Jia Yang Wenxue Wang Gongxin Li Guangyong Li Ning xi Lianqing Liu State Key Laboratory of Robotics Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China State Key Laboratory of Robotics Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh United States Emerging Technologies Institute University of Hong Kong Pokfulam Hong Kong

Biological visual system has many intrinsic functional superiorities, such as small size, high sensitivity and no heat-sink cooling, which are hard to be completely replicated by electromechanical systems. The bio-syncretic design of sensing device with living materials may provide some functional superiorities to those conventional sensing devices, and will have great potential benefits in both biomedical and engineering applications. In this study, we developed a novel bio-syncretic light-gated field-effect transistor (FET), in which optogenetically engineered cells were used as the gate substitute for conventional gate electrode, and the exposure of the cells to light irradiation results in the variation of the transistor's channel current. The bio-syncretic transistor was fabricated by virtue of graphene film and optogenetically engineered cells, and its basic photo-responsive performance was then tested and characterized. This reference-less bio-syncretic transistor has a wide range of potential applications in photodetection and biosensing with good biocompatibility and stability.

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Yarn-dyed Fabric Defect Detection with YOLOV2 Based on Deep Convolution Neural Networks

Yarn-dyed Fabric Defect Detection with YOLOV2 Based on Deep ...

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Data Driven control and Learning Systems (DDCLS)

作者： Hong-wei Zhang Ling-jie Zhang Peng-fei Li De Gu Xi’an Polytechnic University Xi’an ShaanXi China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi China

ISBN: (纸本)9781538626191

To reduce labor costs for manual extract image features of yarn-dyed fabric defects, a method based on YOLOV2 is proposed for yarn-dyed fabric defect automatic localization and classification. First, 276 yarn-dyed fabric defect images are collected, preprocessed and labelled. Then, YOLO9000, YOLO-VOC and Tiny YOLO are used to construct fabric defect detection models. Through comparative study, YOLO-VOC is selected to further model improvement by optimize super-parameters of deep convolutional neural network. Finally, the improved deep convolutional neural network is tested for yarn-dyed fabric defect detection on practical fabric images. The experimental results indicate the proposed method is effective and low labor cost for yarn-dyed fabric defect detection.

关键词： Fabrics Feature extraction Convolution Predictive models Optimization Training

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