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Asian Control Conference

作者： Yang Zhou Xin Chen School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

During drilling process, the axial vibration of the drill string always causes the fluctuations of the bottom hole pressure, which may lead to serious accidents. At the same time the bottom hole pressure control system also has the phenomenon of parameter change and the feedback delay, so that the pressure is difficult to control. In view of this situation, we develop a method combining Smith Predictor with equivalent input disturbance(SP-EID) approach to achieve the disturbance suppression and delay compensation. First, considering the changes in the model parameters, we improve the existing hydraulic model to describe the dynamic characteristics of the bottom hole pressure, at same time the mathematical form of the disturbance is given. Then we use the Smith Predictor to compensate the delay of the feedback channel and apply EID method to suppress pressure disturbances. Finally the SP-EID method is used to adjust the mud flow on the ground to control the bottom hole pressure. The simulations are conducted to compare our method with SMC method, in order to show the superiority and effectiveness of our method.

关键词： Mathematical model Delays Matrix decomposition Vibrations State feedback Symmetric matrices

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Nesterov Accelerated Gradient Descent-based Convolution Neural Network with Dropout for Facial Expression Recognition

Nesterov Accelerated Gradient Descent-based Convolution Neur...

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Asian Control Conference

作者： Wanjuan Su Luefeng Chen Min Wu Mengtian Zhou Zhentao Liu Weihua Cao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

Nesterov accelerated gradient descent-based convolution neural network (NAGDCNN) with dropout is proposed for facial expression recognition, which fuses the convolution neural network (CNN) with Softmax regression to construct a deep convolution neural network (DCNN) that can excavate high-level expression features and classify them. The dropout layer is added after the sub-sampling layer which can effectively reduce overfitting and the network's training time, moreover, the Nesterov accelerated gradient descent (NAGD) is used to optimize the network weights that can predictably prevent the algorithm from going too fast or too slow and enhance the response capability of the network. To verify the effectiveness of the proposal, experiments on benchmark database are conducted, and the experimental results show that the proposal outperforms the state-of-the-art methods. Futhermore, the application experiment is also curried out and the results indicate the feasibility of the proposal in practical applications.

关键词： Deep learning Facial expression recognition Nesterov accelerated gradient descent Dropout Principal component analysis

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A GA-SVM and D-S evidence theory based method for shunt-fault diagnosis in power systems

A GA-SVM and D-S evidence theory based method for shunt-faul...

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Asian Control Conference

作者： Xiaomin Wu Dianhong Wang Weihua Cao Min Ding School of Automation China University of Geosciences Wuhan China Hubei KEY Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

In this paper, a novel genetic algorithm support vector machine (GA-SVM) and Dempster Shafer (D-S) evidence theory based diagnostic method is proposed to improve the efficiency and accuracy for power system fault diagnosis. The fault diagnosis method proposed consists of two steps, first step is the preliminary diagnosis, the second step is the fault fusion. The preliminary diagnosis with two GA-SVM classifiers decreases the information dimension and improve the efficiency. The fault fusion based on D-S evidence theory reduces the conflict of the preliminary diagnosis faults. The voltage phasor and current phasor information are utilized together in the method, the diagnosis accuracy is improved by weakening the detection uncertainties. The method proposed applied in an actual power system in Hubei province in China. The practical results verified the feasibility and effectiveness of the method.

关键词： Support vector machines Genetic algorithms Fault diagnosis Substations Training Uncertainty

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Heterogeneous Network Integration Based on Protocol Conversion 35

Heterogeneous Network Integration Based on Protocol Conversi...

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第35届中国控制会议

作者： CHEN Huijuan School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

It is a tendency for Internet of Things to research Zigbee-WiFi hybrid *** paper introduces a heterogeneous network integration module based on protocol conversion which can integrate 802.15.4 network with 802.11 b *** heterogeneous network integration module resolves mismatch problems on physical layer,MAC layer and address mapping,meanwhile it makes a contrast with existing Zigbee-WiFi gateway and found to be advanced and effective in three performance indexes:network connection speed,SINR(signal interference noise ratio) and network *** design and realization of heterogeneous network integration are based on QualNet simulation software.

关键词： 802154,80211b heterogeneous network integration protocol conversion

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Energy Consumption Analysis in Multi-legged Robots Based on Gait Planning 35

Energy Consumption Analysis in Multi-legged Robots Based on ...

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第35届中国控制会议

作者： DU Xiaolong WANG Shoukun ZONG Xiaoyan WANG Junzheng State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

Currently,the multi-legged robots have to confront the problem of low energy utilization that restricts the moving radius of *** at the problem of energy consumption for mobile robots,this paper provides the analysis in terms of the gait ***,two kinds of gait curves respectively,cycloid curve and Bezier curve are introduced and the main difference of two gait patterns is that the Bezier curve can achieve the swing leg retraction(SLR).The length of step(S),the height of step(H) and the duty ratio of gait cycle(P) are set as the primary research points about the gait of mobile *** this work,we formulate two indexes to quantitatively describe the performance of the quadruped robot and related simulations are carried out for gait ***,the results provide some recommendations for the gait planning of the quadruped robot,that is,the changes of gait parameters influence the index of energy consumption and SLR can effectively reduce energy consumption.

关键词： Energy consumption Multi-legged robot Gait planning SLR Gait parameters

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New constructing method of Lyapunov-Krasovskii functionals for stability of time-varying delay systems

New constructing method of Lyapunov-Krasovskii functionals f...

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Annual Conference of Industrial Electronics Society

作者： Gao Zhenman He Yong Wu Min School of Automation China University of Geosciences Wuhan Chian Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

This paper investigates the stability of linear systems with a time-varying delay. We propose a new approach to construct Lyapunuv-Krasovskii functional (LKF). Compared with other traditional approach, the proposed one can provide a higher time-delay upper bound and lower computation complexity. Six stability criteria by linear matrix inequalities (LMIs) are established by proposed two novel LKFs in this paper. Based on one numerical example, the advantages of the proposed approach are illustrated.

关键词： Stability criteria Symmetric matrices Linear matrix inequalities Numerical stability Delays Linear systems

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A survey on the security of cyber-physical systems

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Control Theory and Technology 2016年第1期14卷 2-10页

作者： Guangyu WU Jian SUN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

Cyber-physical systems （CPSs） are integrations of computation, communication, control and physical processes. Typical examples where CPSs are deployed include smart grids, civil infrastructure, medical devices and manufacturing. Security is one of the most important issues that should be investigated in CPSs and hence has received much attention in recent years. This paper surveys recent results in this area and mainly focusses on three important categories： attack detection, attack design and secure estimation and control. We also discuss several future research directions including risk assessment, modeling of attacks and attacks design, counter-attack strategy and testbed and validation.

关键词： Security cyber-physical systems attack detection secure estimation and control

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A Model Reference Adaptive Control with ADP-to-SMC Strategy for Unknown Nonlinear systems

A Model Reference Adaptive Control with ADP-to-SMC Strategy ...

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Asian Control Conference

作者： Hao Fu Xin Chen Wei Wang School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

In this paper, a novel online learning controller based on model reference adaptive control (MRAC) is presented to simplify the complexity of controlling a class of discrete nonlinear systems with a little prior knowledge, using approximate dynamic programming (ADP). Without the identifier and the assumption of a command generator model, the proposed approach employs a modified direct heuristic dynamic programming (HDP) to acquire two types of the bounded tracking errors, which are available to transform the system into a linear system with the uncertain bounded persistent disturbance. In addition, toggling between the learning and the sliding mode control (SMC) flexibly, an ADP-to-SMC strategy is developed to guarantee the better performance in MRAC. Finally, Simulation results demonstrate the effectiveness of the proposed control scheme.

关键词： Mathematical model Nonlinear systems Adaptation models Linear systems Computational modeling Linear programming Generators

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SPID control for synchronization of complex PIDE networks with time delays 43

SPID control for synchronization of complex PIDE networks wi...

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43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

作者： Yang, Chengdong Zhang, Ancai Zhang, Xinghui Liu, Zhaodong Pang, Guochen Qiu, Jianlong Wen, Yumei Shanshui, Shandong Cao, Jinde School of Automation Southeast University Nanjing210096 China School of Information Science and Technology Linyi University Linyi276005 China Key Laboratory of Complex Systems and Intelligent Computing Universities of Shandong Linyi University Linyi276005 China School of Automation and Electrical Engineering Linyi University Linyi276005 China Cement Group Jinan250307 China School of Mathematics Southeast University Nanjing210096 China

ISBN: (纸本)9781538611272

This paper deals with the problem of complex spatio-temporal networks, which is modeled by coupled partial integro-differential equations (PIDEs). A spatial proportional-integral-derivative (SPID) state-feedback controller is studied. With Laypunov direct method, a sufficient condition on synchronization of the complex PIDE network is investigated in terms of linear matrix inequality (LMIs). Finally, a numerical example shows the effectiveness of the proposed results. © 2017 IEEE.

关键词： Linear matrix inequalities

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Switching Control System Based on Robust Model Reference Adaptive Control

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Journal of systems Science & complexity 2016年第4期29卷 897-932页

作者： HU Qiong FEI Qing MA Hongbin WU Qinghe GENG Qingbo School of Automation Beijing Institute of Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

For conventional adaptive control, time-varying parametric uncertainty and unmodeled dynamics are ticklish problems, which will lead to undesirable performance or even instability and nonrobust behavior, respectively. In this study, a class of discrete-time switched systems with unmodeled dynamics is taken into consideration. Moreover, nonlinear systems are here supposed to be approximated with the class of switched systems considered in this paper, and thereby switching control design is investigated for both switched systems and nonlinear systems to assure stability and performance. For robustness against unmodeled dynamics and uncertainty, robust model reference adaptive control(RMRAC) law is developed as the basis of controller design for each individual subsystem in the switched systems or nonlinear systems. Meanwhile, two different switching laws are presented for switched systems and nonlinear systems, respectively. Thereby, the authors incorporate the corresponding switching law into the RMRAC law to construct two schemes of switching control respectively for the two kinds of controlled systems. Both closed-loop analyses and simulation examples are provided to illustrate the validity of the two proposed switching control schemes. Furthermore, as to the proposed scheme for nonlinear systems, its potential for practical application is demonstrated through simulations of longitudinal control for F-16 aircraft.

关键词： Longitudinal control of F-16 aircraft switching control switching law. nonlinear systems RMRAC switched systems

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