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SPA-Based Modified Local Reachability Density Ratio wSVDD for Nonlinear Multimode Process Monitoring

COMPLEXITY 2021年第1期2021卷

作者： Wang, Zhaojing Yang, Weidong Zhang, Hong Zheng, Ying Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Peoples R China

Many industrial processes are operated in multiple modes due to different manufacturing strategies. Multimodality of process data is often accompanied with nonlinear and non-Gaussian characteristics, which makes data-driven monitoring more complicated. In this paper, statistics pattern analysis (SPA) is introduced to extract low- and high-order statistics from raw process data. Support vector data description (SVDD), which can deal with nonlinear and non-Gaussian problems, is applied to monitor multimode process in this paper. To improve detection performance of SVDD for training multimode data with outliers, modified local reachability density ratio (mLRDR) is proposed as a weight factor to be embedded in the weighted-SVDD (wSVDD) model, in which the local neighbors in terms of both space and time are considered. Finally, the effectiveness and superiority of our proposed method are demonstrated by the Tennessee-Eastman (TE) process and wastewater treatment process (WWTP).

关键词： Process monitoring

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Outlier-robust zonotope set-membership filter for discrete-time nonlinear system

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2023年第14期33卷 8693-8714页

作者： Yang, Bo Chen, Xinxing Cheng, Rong Huang, Jian Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan Peoples R China Southern Univ Sci & Technol Dept Mech & Energy Engn Shenzhen Key Lab Biomimet Robot & Intelligent Syst Shenzhen Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

Transient sensor malfunction, improper replacement measures, and large non-Gaussian noise can cause data outliers in real-world scenarios. In this article, an outlier-robust zonotope set-membership filter is proposed for uncertain nonlinear systems susceptible to outliers. In order to linearize nonlinear systems, a linearization method based on Stirling's interpolation formula is proposed. Then, an outlier detector utilizing the linearization error bounds, the prediction domain, and the output feasible domain is constructed. Based on the linearized system, a tight strip construction method is given to reduce the conservatism of the estimated enclosure. Moreover, a prediction-correction-backward reconstruction filter structure is designed to improve estimation accuracy and reduce conservatism. The proposed structure fuses historical data to attenuate the impact of uncertainty on the system. The robustness, guarantee, and convergence of the proposed filter are investigated. Finally, the effectiveness of the proposed approach is evaluated by two simulation examples.

关键词： discrete-time nonlinear system outliers set-membership filter zonotope

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Set-Membership filtering with incomplete observations

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INFORMATION SCIENCES 2020年 517卷 37-51页

作者： Wang, Yuan Huang, Jian Wu, Dongrui Guan, Zhi-Hong Wang, Yan-Wu Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan Peoples R China

This study addresses the set-membership estimation problem for a class of discrete time-varying systems with incomplete observations. A set-membership filter is developed and a recursive algorithm is proposed to calculate the state estimate ellipsoid which contains the true value. To solve the problem that the conventional set-membership filter cannot guarantee the stability when applied to discrete time-varying systems with incomplete observations, a quantitative analysis method about incomplete observations is developed and a tight bound of the estimation error is found based on interval analysis and some bounded noise assumptions. In terms of bounded assumptions, the relationship between the bound of estimated error and the data dropout rate is obtained. If the data dropout rate is less than a maximal value, the set-membership filter is asymptotically stable. The proposed filter is applied to a two-state example to demonstrate the effectiveness of theoretical results. (C) 2019 Elsevier Inc. All rights reserved.

关键词： Set-membership estimation Stability analysis Incomplete observations Discrete time-varying systems

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Direct torque control of PMSM using sliding mode backstepping control with extended state observer

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JOURNAL OF VIBRATION AND control 2018年第4期24卷 694-707页

作者： Ning, Bowen Cheng, Shanmei Qin, Yi Huazhong Univ Sci & Technol Sch Automat Key Lab Educ Minist Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

Based on the nonlinear characteristics of permanent magnet synchronous motor (PMSM), a nonlinear speed and direct torque control (DTC) using sliding mode backstepping method for PMSM is presented in this paper. The sliding mode speed controller is implemented with exponential reaching law to improve the robustness of the system, and further a step-by-step recursive design for backstepping torque and flux controllers is presented. The system stability with proposed scheme is mathematically proved using Lyapunov stability criteria. At the same time, the load torque is observed with the extended state observer (ESO), and is fed-forward to the controller for rejecting the load disturbance and to mitigate the chattering affect due to the sliding mode controller. Finally, simulation test results are demonstrated to support the effectiveness and feasibility of the proposed strategy.

关键词： Permanent magnet synchronous motor direct torque control sliding mode control backstepping control extended state observer

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Discriminative Part Selection for Human Action Recognition

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IEEE TRANSACTIONS ON MULTIMEDIA 2018年第4期20卷 769-780页

作者： Zhang, Shiwei Gao, Changxin Zhang, Jing Chen, Feifei Sang, Nong Huazhong Univ Sci & Technol Sch Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan 430074 Hubei Peoples R China

Semantic parts have shown a powerful discriminative capacity for action recognition. However, many existing methods select parts according to predefined heuristic rules, which may cause the correlation among parts to be lost, or do not appropriately consider the cluttered candidate part space, which may result in weak generalizability of the resulting action labels. Therefore, better consideration of the correlation among parts and refinement of the candidate space will lead to a more discriminative action representation. This paper achieves improved performance by more elegantly addressing these two factors. First, considering the cluttered nature of the candidate space, we propose a recursive part elimination strategy for iterative refinement of the candidate parts. In each iteration, we eliminate the parts with the lowest weights, which are deemed to be noise. Second, we measure the discriminative capabilities of the candidates and select the top-ranked parts by applying a maximum margin model, which can alleviate overfitting while simultaneously improving generalizability and correlation extraction. Finally, using the selected parts, we extract mid-level features. We report experiments conducted on four datasets (KTH, Olympic Sports, UCF50, and HIVIDB51). The proposed method can achieve significant improvements compared with other recent methods, including a lower computational cost, a faster speed, and higher accuracy.

关键词： Mid-level part selection recursive part elimination (RPE) maximum margin model action recognition

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MICROELECTRONICS RELIABILITY 2017年 75卷 309-316页

作者： Wu, Feng Hao, Yang Zhao, Jin Liu, Yang Huazhong Univ Sci & Technol Sch Automat Key Lab Image Informat Proc & Intelligent Control Minist Educ Wuhan Hubei Peoples R China

Three-phase voltage-source inverters fed induction motor with space-vector controlled scheme are widely used in industrial applications. The suffered failures will degrade the system performance with output torque ripple and harmonic currents. In this paper, a novel diagnosis method is proposed to detect and locate the insulated gate bipolar translator open-circuit fault. Discrete wavelet transform is used as a pre-treatment technique for three-phase output currents, the approximate coefficients are applied to obtain energy vectors. Euclidean distance between every two of the energy vectors are calculated for measuring the current similarity to diagnose fault. When IGBTs occur open-circuit fault, the values of Euclidean distance will be smaller than that under normal conditions, then faults can be detected. Faults can also be located according to extracted features. Simulation and experimental results show high efficiency and merits of the proposed method. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Euclidean distance Discrete wavelet transform Open-circuit Fault diagnosis Voltage-source inverter Similarity analysis

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A Memristive Circuit Implementation of Eyes State Detection in Fatigue Driving Based on Biological Long Short-Term Memory Rule

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IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021年第6期18卷 2218-2229页

作者： Wang, Zilu Hong, Qinghui Wang, Xiaoping Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

Biological long short-term memory (B-LSTM) can effectively help human process all kinds of received information. In this work, a memristive B-LSTM circuit which mimics a conversion from short-term memory to long-term memory is proposed. That is, the stronger the signal, the more profound the memory and the higher the output. On this basis, an image binarization circuit using adaptive row threshold algorithm is proposed. It can make the image remain a deep impression on the strong pixel information and effectively filter the relatively weak pixel information. In combination with the function of image binarization, a memristive circuit for eyes state detection is proposed by adding corresponding horizontal projection calculation, subtraction calculation and judgement open or closed eyes modules. The proposed circuit can detect whether there is a blink between two adjacent facial images, which uses the characteristics of memristor to detect the difference of horizontal projection between two images. Due to the use of memristor, the proposed circuit can realize in-memory computing, which fundamentally avoids the problem of storage wall and shorten the execution time. Finally, an expectation application in fatigue driving based on the proposed method is demonstrated, which indicates the practicability of the circuit design in this work.

关键词： Memristors Integrated circuit modeling image processing Fatigue Threshold voltage Software algorithms Computer architecture Memristive circuit design image binarization eyes state detection biological long short-term memory (B-LSTM)

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An Embedded Closed-Loop Fault-Tolerant control Scheme for Nonredundant VSI-Fed Induction Motor Drives

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IEEE TRANSACTIONS ON POWER ELECTRONICS 2017年第5期32卷 3731-3740页

作者： Zhou, Dehong Li, Yunhua Zhao, Jin Wu, Feng Luo, Hui Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ China Sch Automat Wuhan 430074 Peoples R China

The nonredundant voltage-source inverter, which exploits the possibility ofminimum additional components for reconfiguration and operation, is a promising solution to manage faults in one inverter leg. However, control schemes at prefault and postfault conditions are always designed, separatelymaking it hard for control scheme adaptation from normal to fault tolerant. In order to achieve smooth transitions from prefault to postfault, an embeddable fault-tolerant method based on predictive torque control (PTC) is proposed. A generalized voltage vectors, switching command, and cost function accounting for both healthy and faulty conditions are introduced to carry out a general control scheme. A novel fault-diagnosis method based on probability density analysis of the sampling currents is presented for open-circuit fault isolation under PTC scheme. Seamless likely and rapid transient processes from fault occurrence to postfault operation are achieved. Experimental results have demonstrated that the proposed scheme can make power switch fault easily managed by the controller itself.

关键词： Fault diagnosis fault tolerant induction motor drive probability

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controllability of Two-Time-Scale Discrete-Time Multiagent Systems

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IEEE TRANSACTIONS ON CYBERNETICS 2020年第4期50卷 1440-1449页

作者： Su, Housheng Long, Mingkang Zeng, Zhigang Huazhong Univ Sci & Technol Educ Minist China Sch Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

In this paper, the controllability problem is addressed for a two-time-scale discrete-time system with multiple agents. First, the system is described by a singularly perturbed difference equation expressed on fast timescale. Then, to eliminate the singular perturbation parameter, by using the iterative method and approximate approach, the two-time-scale system is separated into slow and fast subsystems. Subsequently, some sufficient and/or necessary conditions of controllability for the systems are derived by using matrix theory. Moreover, under three special network topologies, the necessary criteria for controllability are proposed via graph theory. Finally, we give a simulation example to illustrate the effectiveness of the proposed theoretical results.

关键词： controllability Perturbation methods Eigenvalues and eigenfunctions Multi-agent systems Discrete-time systems Difference equations Network topology controllability coordination control discrete-time multiagent systems (MASs) singularly perturbed systems two-timescale

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Robust destriping method with unidirectional total variation and framelet regularization

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OPTICS EXPRESS 2013年第20期21卷 23307-23323页

作者： Chang, Yi Fang, Houzhang Yan, Luxin Liu, Hai Huazhong Univ Sci & Technol Sch Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan 430074 Hubei Peoples R China

Multidetector imaging systems often suffer from the problem of stripe noise and random noise, which greatly degrade the imaging quality. In this paper, we propose a variational destriping method that combines unidirectional total variation and framelet regularization. Total-variation-based regularizations are considered effective in removing different kinds of stripe noise, and framelet regularization can efficiently preserve the detail information. In essence, these two regularizations are complementary to each other. Moreover, the proposed method can also efficiently suppress random noise. The split Bregman iteration method is employed to solve the resulting minimization problem. Comparative results demonstrate that the proposed method significantly outperforms state-of-the-art destriping methods on both qualitative and quantitative assessments. (C) 2013 Optical Society of America

关键词： Fast Fourier transforms image processing image quality image restoration Imaging systems Nanopositioning equipment

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