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第36届中国控制会议

作者： Shuiyun Wu Zhitao Liu Hongye Su State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University

ISBN: (纸本)9781538629185

This paper deals with sensorless vector control of induction motor(IM) based on model reference adaptive system(MRAS) theory and sliding mode *** adaptive-gain supertwisting(ASTW) sliding mode speed controller is designed to provide good speed tracking performance in the presence of load torque variation.A stator current and rotor flux sliding mode observer(SMO) is designed,which is insensitive to model uncertainties and parameter *** replacing the reference voltage model of conventional MARS with the SMO,the rotor speed can be estimated more precisely and improve the control *** proposed drive system is simulated using MATLAB/SIMULINK to verify the effectiveness and robustness.

关键词： Induction motor Adaptive sliding mode control Sliding mode observer vector control MRAS

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Active Planning of Robot Navigation for 3D Scene Exploration

Active Planning of Robot Navigation for 3D Scene Exploration

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Wenzhou Chen Yong Liu Institute of Cyber-Systems and Control Zhejiang University Zhejiang China State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control Zhejiang University Zhejiang China

This work addresses the active planning of robot navigation tasks for 3D scene exploration. 3D scene exploration is an old and difficult task in robotics. In this paper, we present a strategy to guide a mobile autonomous robot equipped with a camera in order to autonomously explore the unknown 3D scene. By merging the particle filter into 3D scene exploration, we address the robot navigation problem in a heuristic way, and generate a sequence of camera poses to coverage the unknown 3D scene. First, we randomly generate a bunch of potential camera pose vectors. Then, we select the vectors through our criteria. After determining the first camera pose vector, we generate the next group of vectors based on the former one. We select the new camera pose vector and thereafter. We verify the algorithm theoretically and show the good performance in the simulation environment.

关键词： Cameras Three-dimensional displays Robot vision systems Task analysis Navigation Robot kinematics

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Resilient Consensus with Mobile Detectors Against Malicious Attacks

Resilient Consensus with Mobile Detectors Against Malicious ...

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作者： Zhao, Chengcheng He, Jianping Chen, Jiming State Key Laboratory of Industrial Control Technology Innovation Joint Research Center for Industrial Cyber Physical Systems Zhejiang University Hangzhou310027 China Department of Automation Shanghai Jiao Tong University Shanghai310027 China

This paper investigates the problem of resilient consensus under malicious attacks for multiagent systems. Compared with most of existing works, a more general attack model is considered, where malicious agents can neighbor and collude with each other and the number of tolerable attacks is not limited by the network connectivity, which makes the problem more challenging. To solve this problem, we exploit the mobile agents as the detectors, and design the resilient consensus algorithm with mobile detectors (MRCA). MRCA includes basic average iteration process and the detection algorithms of both static and mobile agents. We prove that under MRCA, malicious agents will be detected by mobile agents and isolated by normal agents in finite time in expectation and thus the convergence can be achieved. We also show that MRCA can tolerate neighboring malicious attacks and the number of tolerable attacks is not limited by the network connectivity. Simulations are conducted to demonstrate the effectiveness of MRCA and validate the correctness of the theoretical results. © 2015 IEEE.

关键词： Mobile agents

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An Improved Approach to Test Diagnosability of Bounded Petri Nets

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 297-303页

作者： Ning Ran Hongye Su Shouguang Wang State Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityYuquan Campus IEEE School of Information & Electronic Engineering Zhejiang Gongshang University

For bounded Petri nets, Cabasino et al. propose a diagnosability test method that is based on the analysis of a modified basis reachability graph and a basis reachability diagnoser. However, its complexity is exponential in the number of nodes of the basis reachability diagnoser. In order to reduce the complexity of their method, this paper presents a new diagnosability test approach for bounded Petri nets. We present the concept of an extended basis reachability graph and prove that our approach is of polynomial complexity in the number of nodes of extended basis reachability graphs. An example is given to illustrate the application of the presented approach. © 2017 Chinese Association of Automation.

关键词： Failure analysis Fault detection Petri nets Testing

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Null Space Method for Integrating Steady state Optimization and Model Predictive control

Null Space Method for Integrating Steady State Optimization ...

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第37届中国控制会议

作者： Xiaochen Li Hongye Su Hanshan Shao Lei xie State Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityYuquan Campus

In the process industries, steady state operation consumes the most part of the operating cost. The overall process system is typically implemented by a hierarchy model with various layers. The steady state optimization layer obtains the optimal setpoints based on a nonlinear model of the process. The optimal setpoints are implemented by means of the model predictive control layer. In this paper, the null space method is presented to integrate steady state optimization and model predictive control in the presence of expected and unexpected disturbances. Through using null space method to select the controlled variables as a combination of the measurements, the main advantage is to reduce the need for frequent setpoint changes as well as reject both expected and unexpected disturbances. An example is presented to illustrate the superiority of the proposed method.

关键词： Hierarchy Model Steady state Optimization Model Predictive control Null Space Method

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Online conformal prediction for classifying different types of herbal medicines with electronic nose

Online conformal prediction for classifying different types ...

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IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

作者： Zhan, Xianghao Guan, Xiaoqing Wu, Rumeng Wang, Zhan Wang, You Luo, Zhiyuan Li, Guang State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang310027 China Computer Learning Research Centre Royal Holloway University of London Egham Hill Egham SurreyTW20 0EX United Kingdom

ISBN: (纸本)9781839530838

With the recognition of herbal medicines, reliable and convenient methods for herbal medicines discrimination are needed. This paper introduces a novel method of using an electronic nose with online conformal prediction to classify 12 different types of herbal medicines with similar appearance. The performances of different online conformal predictors based on different training set updating strategies and varied sizes of initial training sets are evaluated to investigate the effectiveness of online conformal prediction. The results show that online conformal prediction manages to classify these medicines and achieves improved accuracy and robustness with more observations if the reliability requirement for training set updating is strict enough. Furthermore, the validity of online conformal prediction is vindicated that with the accumulation of observations, the error rate of prediction gradually converges below the significance level set by users, which offers users a flexible control over reliability and information about potential risk. Finally, the efficiency of online conformal prediction is discussed that customers should make a trade-off between reliability and efficiency. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Electronic nose

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JOINT CONVOLUTIONAL NEURAL NETWORK FOR SMALL-SCALE SHIP CLASSIFICATION IN SAR IMAGES

JOINT CONVOLUTIONAL NEURAL NETWORK FOR SMALL-SCALE SHIP CLAS...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Yanxia Wu Ye Yuan Jian Guan Libo Yin Jinyong Chen Ge Zhang Pengming Feng College of Computer Science and Technology Harbin Engineering University Harbin China China Industrial Control Systems Cyber Emergency Response Team Beijing China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China State Key Laboratory of Space-Ground Integrated Information Technology Beijing China

Ship classification using synthetic aperture radar (SAR) imagery is a challenge problem in maritime surveillance. Because of the scale limitation of ship targets in SAR image, convolutional neural networks (CNNs) can not achieve similar performance as for natural image classification. In this paper, we propose a joint CNNs framework for small-scale ship targets classification in SAR image, where a generator and a classifier are jointly connected. The generator can reconstruct the small-scale low-resolution (LR) images to large-scale super-resolution (SR) images, and the classifier is used for ship classification. A novel joint loss optimization strategy is introduced to solve the problem, where an MSE-based content loss is employed to generate high quality SR images, and a classification loss is applied to enable the generator and the classifier to be trained in a joint way. Experiments are conducted to demonstrate the superior performance of our proposed method, as compared with the state-of-the-art methods.

关键词： Marine vehicles Generators Synthetic aperture radar Containers Radar polarimetry Convolutional neural networks Training

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An all-solid-state ion-selective electrode for dopamine determination

An all-solid-state ion-selective electrode for dopamine dete...

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IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

作者： Ma, Siyuan He, Cheng Wang, You Luo, Zhiyuan Li, Guang State Key Laboratory of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China Computer Learning Research Centre Royal Holloway University of London Egham Hill Egham SurreyTW200EX United Kingdom

ISBN: (纸本)9781839530838

An all-solid-state ion-selective electrode (ISE) was developed for potentiometric detection of dopamine. A gold disk covered by poly(3, 4-ethylenedioxythiophene) doped with poly(styrenesulfonate) (PEDOT/PSS) was used as the work electrode, a polymeric membrane containing β-cyclodextrin as an ionophore and potassium tetrakis(4-chlorophenyl) borate as ionic additive was immobilized on the conduct polymer layer as the dopamine selective membrane. The ISE was sensitive to dopamine linearly from 3×10-5 to 10-1M with a slope of 56.60±1.28mV/decade. And the detection limit was 2.2×10-5M. It performed stably in a pH range of 6-8 and a temperature range of 35-41°C. The dynamic response, reproducibility and stability as well as the sensitivity were investigated. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Ion selective electrodes

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Event-triggered Adaptive control for a Class of Discrete-time Uncertain Nonlinear systems

Event-triggered Adaptive Control for a Class of Discrete-tim...

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第30届中国控制与决策会议

作者： Wenxiu Zhuang Changyun Wen Lei Wang Zhitao Liu Hongye Su State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University School of Electrical and Electronic Engineering Nanyang Technological University

In this paper, an event-triggered adaptive control approach is proposed to control a class of discrete-time uncertain nonlinear systems, based on the backstepping adaptive control and the fixed threshold strategy. The designed event-triggered adaptive control can guarantee that all the closed-loop signals are globally bounded and the tracking error converges to a compact set. Simulation results are given to illustrate the performance and effectiveness of the proposed method.

关键词： Event-triggered Discrete-time system Adaptive control

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Corrigendum to “Cuckoo search algorithm with explosion operator for modeling proton exchange membrane fuel cells” [Int J Hydrogen Energy 44 (2019) 3075–3087]

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International Journal of Hydrogen Energy 2019年第18期44卷 9484-9484页

作者： Yiping Chen Ning Wang State Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou 310027 PR China

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