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Anti-windup Disturbance Rejection control Design for Sampled Systems with Output Delay and Asymmetric Actuator Saturation Constraint ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1349-1354页

作者： Xinpeng Geng Zhencai Wang Shoulin Hao Tao Liu Zoltan Kalman Nagy Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 China Davidson School of Chemical Engineering Purdue University West Lafayette Indiana 47907 United States

A novel anti-windup disturbance rejection control design is proposed for industrial sampled systems with output delay and asymmetric actuator saturation constraint. To deal with the asymmetric actuator saturation constraint as often encountered in engineering practice, the input constraint is equivalently transformed into a symmetric actuator saturation constraint for the convenience of control design. Based on the equivalent system description, a model-based extended state observer (MESO) is designed to simultaneously estimate the system state and disturbance, which becomes an anti-windup compensator when the actuator saturation occurs. In order to compensate for the delay mismatch in MESO, a generalized predictor is utilized to estimate the undelayed system output. Accordingly, a pole placement approach is given to design the feedback controller. A set-point pre-filter is designed to ensure no steady-state output tracking error, in terms of a desired transfer function for the set-point tracking. Based on the delay-dependent sector condition and generalized free-weighting-matrix (GFWM), a sufficient condition guaranteeing the stability of the closed-loop system is established in terms of linear matrix inequalities (LMIs). An illustrative example from the literature is used to demonstrate the effectiveness and advantage of the proposed control method.

关键词： Sampled systems Asymmetric actuator saturation Output delay Anti-windup design Extended state observer (ESO)

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Real-time Online UAV Images Mosaic with Robustness to Cumulative Errors

Real-time Online UAV Images Mosaic with Robustness to Cumula...

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作者： Xing Xia Bei Wang Jing Li Li Song Yi Hang Gong Bao Song Deng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology National Innovation Institute of Defense Technology Academy of Military Science Tianjin Artificial Intelligence Innovation Center

In this paper, a novel real-time online UAV image mosaic algorithm is proposed to meet the real-time, robustness and accuracy requirements of practical application. First, the algorithm adopts GPS and track planning information to locate the adjacent images. Instead of the 8-DOF(degrees of freedom) homography transformation, the 4-DOF similarity transformation is estimated to more robustly register the UAV images and reduce their perspective errors. Second, a new method of local registration is developed to reduce the cumulative errors and calculation costs. Meanwhile, the real-time mosaic process is used to register images and update the panoramic image. Finally, the effectiveness of the proposed approach is evaluated by a group of experiments on 4 K images taken by quadrotor drones. According to the comparison of experiments, the proposed algorithm is robust to cumulative errors and obtains high-quality panorama. Additionally, through the analysis on stitching time and practical application, frame-by-frame mosaic synthesis is online updated in real-time.

关键词： Real-Time Image Mosaic Similarity Transformation Local Registration

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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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Discrete-phase-randomized measurement-device-independent quantum key distribution

arXiv

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arXiv 2020年

作者： Cao, Zhu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

Measurement-device-independent quantum key distribution removes all detector-side attacks in quantum cryptography, and in the meantime doubles the secure distance. The source side, however, is still vulnerable to various attacks. In particular, the continuous phase randomization assumption on the source side is normally not fulfilled in experimental implementation and may potentially open a loophole. In this work, we first show that indeed there are loopholes for imperfect phase randomization in measurement-device-independent quantum key distribution by providing a concrete attack. Then we propose a discrete-phase-randomized measurement-device-independent quantum key distribution protocol as a solution to close this source-side loophole. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum cryptography

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Constant-round multi-party quantum computation for constant parties

arXiv

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arXiv 2020年

One of the central themes in classical cryptography is multi-party computation, which performs joint computation on multiple participants’ data while maintaining data privacy. The extension to the quantum regime was proposed in 2002, but despite two decades of research, the current state-of-the-art multi-party quantum computation protocol for a fixed number of parties (even 2 parties) requires unbounded rounds of communication, which greatly limit its practical usage. In this work, we propose the first constant-round multi-party quantum computation protocol for a fixed number of parties against specious adversaries, thereby significantly reducing the required number of rounds. Our work constitutes a key step towards practical implementation of secure multi-party quantum computation, and opens the door for practitioners to be involved in this exciting field. The result of our work has wide implications to quantum fidelity evaluation, quantum machine learning, quantum voting, and distributed quantum information processing. © 2020, CC-BY.

关键词： Quantum optics

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Counterfactual universal quantum computation

arXiv

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arXiv 2020年

Universal quantum computation is usually associated with interaction among two-level quantum subsystems, as this interaction is commonly viewed as a necessity to achieve universal quantum computation. In this work, we show that, contrary to this intuition, universal quantum computation can be achieved without interaction among initially independent two-level quantum subsystems. We call it counterfactual universal quantum computation. As special cases, we show how to achieve counterfactual communication of quantum states, counterfactual quantum swapping, and counterfactual quantum erasure codes. To ease practical implementation, we analyze counterfactual universal quantum computation with realistic devices, including the effects of finite execution time, photon loss, and atom missing. Besides the theoretical interest of illustrating the mysterious and counterintuitive nature of quantum physics, our work has practical applications to color imaging of ancient arts, upon which light is forbidden to shine. © 2020, CC-BY.

关键词： Quantum optics

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Time-delay assisted mechanism and adaptive LSTM hybrid train braking model of heavy haul trains

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control Engineering Practice 2025年 163卷

作者： Qiang Liu Kexuan Xu Yating Fu Jiang Liu Ling Liu State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Shenyang 110819 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China School of Electrical and Automation Engineering East China Jiaotong University Nanchang 330013 China Frontiers Science Center for Smart High-speed Railway System Beijing 100044 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing 100044 China Beijing National Railway Research & Design Institute of Signal Communication Group Company Beijing 100070 China

The train braking model (TBM) that describes the dynamic relations of operation speed, mileage, and control force is essential for achieving stable operation and precise stopping of heavy haul trains (HHTs). However, it is difficult to establish the TBM of HHTs due to complex characteristics: (i) the long body and air braking process of the HHTs may lead to unexpected time-delays of control force; and (ii) there are significant unmodeled dynamics caused by rough tracks and external poor environment. Traditional TBM does not take into account the unmodeled dynamics and time-delays caused by air transmission during braking. To address these issues, this study proposes a data mechanism hybrid modeling strategy, which incorporates a braking time-delay assisted mechanism model and an adaptive long and short-term memory (LSTM) model. A new Bayesian optimization based time-delay estimation method is first proposed to determine unknown time-delays of each carriage and the estimated time-delays are incorporated to generate the multi-point-mass kinetic mechanism model. Moreover, the error of the mechanism-driven model is adaptively compensated by a sliding window LSTM model to conduct the unmodeled dynamics. The effectiveness of the proposed method is demonstrated using the field data.

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process Monitoring Based on Performance-Triggered Scheme

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IFAC-PapersOnLine 2018年第18期51卷 321-326页

作者： Ming-shan, Zhang Yang, Jian Tan, Shuai Hong-bo, Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

In process monitoring, some specific performance indexes need to be paid attention to. Therefore, the performance-triggered process monitoring scheme is proposed. Different from the traditional process monitoring method, the process is considered normal if there is no apparent anomaly happens on the performance index. In order to predict the values of performance indexes that cannot be measured in real time, ridge regression is used. And, the regression coefficients are used to pick the most relevant process variables for subsequent modelling. In this scheme, after the performance index exceeds the control limit, the monitoring of the relevant process variables is triggered to determine whether the prediction is abnormal due to the occurrence of a fault. Then, dictionary learning method and Low rank representation (LRR) are used for feature extraction and construction of the statistic. Finally, the effectiveness of the proposed method is verified by a numerical example and the Tennessee Eastman (TE) process. © 2018

关键词： Monitoring Fault detection Learning systems Numerical methods process control process monitoring Regression analysis Dictionary learning Feature extraction and constructions In process monitoring Low rank representations Performance indices process Variables Regression coefficient Variable selection

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Dynamic CCA-Based Distributed Monitoring for Multiunit Non-Gaussian processes

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IFAC-PapersOnLine 2018年第21期51卷 347-352页

作者： Jiang, Qingchao Yan, Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

Multiunit non-Gaussian dynamic processes are more popular, and monitoring of such processes becomes important. A dynamic canonical correlation analysis (DCCA)-based distributed monitoring approach for multiunit non-Gaussian dynamic processes is proposed. First, DCCA is performed between each local unit and the coupled units, which models both the auto-correlation and cross-correlation among units. Second, two fault detection residuals are generated for each local unit, through which both the process status and the type of a detected fault are identified. The proposed DCCA monitoring scheme achieves local unit monitoring by considering the variables from both the local unit and the coupled units, and therefore exhibits superiority. Applications on the Tennessee Eastman benchmark process are provided, through which the efficiency of the DCCA monitoring method is demonstrated. © 2018

关键词： Monitoring Benchmarking Correlation methods Fault detection Gaussian distribution Gaussian noise (electronic) process control process monitoring Canonical correlation analysis Cross correlations Distributed monitoring Distributed process Dynamic process monitoring Monitoring methods Non Gaussian process Tennessee Eastman

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Method for coloring night-vision imagery based on multispectral semantic segmentation

Method for coloring night-vision imagery based on multispect...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Zhang, Weiwen Gu, Xiaojing Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781538666173

Color night vision can map natural colors to nighttime images of multiple bands (e.g., visible and long-wave infrared (LWIR)). These colors can assist the observers in better and faster understanding images, thus improving their situational awareness and shortening the reaction time. In this paper, we present an effective method combining deep learning and category colors. It utilizes the semantic segmentation for image segmentation first, and then colorize the image according to categories to avoid the same color scheme and unnatural colors. We compare our method with some others quantitatively and qualitatively, such as global colorization by single lookup table, where we show significant improvements. In addition, it can be expanded according to different environments and applications because of the fixed category colors. © 2018 IEEE.

关键词： Color

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