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Chinese Control Conference (CCC)

作者： Jishi Zhang Yan Wu Yanwu Wang Zhonghu Gao School of Automation Huazhong University of Science and Technology Wuhan P.R.China Key Laboratory of Image Processing Intelligent Control of Education Ministry of China Wuhan P.R.China CSIC Wuhan Institute of Marine Electric Propulsion Wuhan P.R.China

This paper addresses the stability and stabilization problems for a class of positive linear systems in the presence of saturating actuators. The objective is to give conditions of the stability, and design state feedback control laws such that the closed-loop systems is asymptotically stable and positive at the origin with a large domain of attraction. Several sufficient conditions for stabilization and positivity are derived via the Lyapunov functions method and convex analysis in both the continuous-time and the discrete-time cases, respectively. The state feedback controller design and the estimation of domain of attraction are presented by solving a convex optimization problem with LMIs constraints. A numerical example is given to show the effectiveness of the proposed methods.

关键词： Actuators Linear systems Stability analysis Closed loop systems State feedback Bismuth

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Optimal ascent guidance based on direct optimization method

Optimal ascent guidance based on direct optimization method

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2012 International Conference on Modelling, Identification and Control, ICMIC 2012

作者： Lu, Xuefang Wang, Yongji Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780956715715

In this paper, an optimal guidance algorithm is proposed for atmospheric ascent. The optimal guidance algorithm updates the reference trajectory to deal with the impact of disturbance by solving an optimal control problem on-board. For the strong nonlinear ascent dynamic, the optimal control problem is transformed into nonlinear programming problem by trajectory discretization. The direct optimization method is implemented for this nonlinear programming problem. Only a segment of the reference trajectory is updated by the optimal guidance algorithm. Due to the small amount of the discrete nodes and the initial guess solution which is close to the optimization solution, the direct optimization method is fast enough to generate a new reference trajectory. Numerical simulation for the Generic Hypersonic Vehicle model and scramjet engine is done for different cases of the aerodynamic coefficient bias. The results show the accuracy and the effectiveness of this optimal guidance algorithm. © 2012 Huazhong Univ of Sci & Tec.

关键词： Trajectories

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Degree of Spiking Neural P Systems Without Delay

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电子学报(英文版) 2012年第3期21卷 419-424页

作者： JIANG Keqin SHI Xiaolong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China School of Computer and Intormation Anqing Teachers College Anqing 246133 China

Spiking neural P systems are a class of dis- tributed parallel computing models inspired from the way neurons communicate with each other by means of electri- cal impulses (called "spikes"). In this paper, we continue the research of normal forms for spiking neural P systems. Specifically, we prove that the degree of spiking neural P systems without delay can be decreased to two without losing the computational completeness (both in the gener- ating and accepting modes).

关键词：电脉冲神经元膜系统并行计算模型延时分布式

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Native gating behavior of ion channels in neurons with null-deviation modeling

Native gating behavior of ion channels in neurons with null-...

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The 4th International Ion Channel Conference(第四届国际离子通道会议)

作者： Wei Wang Jie Luo Panpan Hou Yimei Yang Feng Xiao Ming Yuchi Anlian Qu Luyang Wang Jiuping Ding Key Laboratory of Molecular Biophysics of the Ministry of Education College of Life Science and Technology Huazhong University of Science and Technology Wuhan China program in Neurosciences and Mental Health SickKids Research Institute & Department of Physiology University of Toronto Toronto Canada Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Department of Biomedical Engineering College of Life Science and Technology Wuhan China

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A NOTE ON STABILITY OF THE SPLIT-STEP BACKWARD EULER METHOD FOR LINEAR STOCHASTIC DELAY INTEGRO-DIFFERENTIAL EQUATIONS

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Journal of Systems Science & Complexity 2012年第5期25卷 873-879页

作者： Feng JIANG Yi SHEN Xiaoxin LIAO Department of Control Science and Engineering Huazhong University of Science and Technology School of Statistics and Mathematics Zhongnan University of Economics and Law Department of Control Science and Engineering the Key Laboratory of Ministry of Eduction for Image Processing and Intelligent ControlHuazhong University of Science and Technology

In the literature （Tan and Wang, 2010）, Tan and Wang investigated the convergence of the split-step backward Euler （SSBE） method for linear stochastic delay integro-differential equations （SDIDEs） and proved the mean-square stability of SSBE method under some condition. Unfortu- nately, the main result of stability derived by the condition is somewhat restrictive to be applied for practical application. This paper improves the corresponding results. The authors not only prove the mean-square stability of the numerical method but also prove the general mean-square stability of the numerical method. Furthermore, an example is given to illustrate the theory.

关键词： General mean-square stability mean-square stability split-step backward Euler method stochastic delay integro-differential equations.

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Tracking control of pneumatic muscle using Lyapunov based control method

Tracking control of pneumatic muscle using Lyapunov based co...

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2012 International Conference on Modelling, Identification and Control, ICMIC 2012

作者： Elobaid, Youssif M. T. Huang, Jian Wang, Yongji Wu, Jun Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780956715715

Presently pneumatic muscles (PMs) are used in various applications due to their simple construction, lightweight and high force to weight ratio. However, pneumatic muscles are facing various problems due to their nonlinear characteristic in various mechanical applications. The model of PM is nonlinear and time-varying. In this paper, a Lyapunov-based control (LBC) approach is proposed for the control of PM. Based on the nonlinear characteristic of PM, a dynamic model of the PM actuator with pulling a mass against gravity is formed. Control objectives are both a regulation and an asymptotic tracking of a desired trajectory. Stability analysis based on Lyapunov method with respect to our proposed control law is discussed. The simulation results show the validity, effectiveness and enhancing robustness of the proposed method. © 2012 Huazhong Univ of Sci & Tec.

关键词： Lyapunov methods

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Echo state network-based internal model control for pneumatic muscle system

Echo state network-based internal model control for pneumati...

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2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011

作者： Wu, Jun Wang, Yongji Huang, Jian Zhou, Hanying Cai, Hong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 430074 Wuhan China

ISBN: (纸本)9781447124665

Pneumatic muscle (PM) has strong time varying characteristic. The complex nonlinear dynamics of PM system poses problems in achieving accurate modeling and control. To solve these challenges, we propose an echo state network (ESN)-based internal model control (IMC) for PM system in this paper. Here, ESN is employed for identifying the plant model and constructing controller. Recursive least squares (RLS) is used for the online update of ESN. The ESN-based IMC fully embodies the virtues of ESN and IMC. It can build high accurate plant model without detailed model information, as well as attain strong robustness by online self-tuning of controller and internal model. Experiment demonstrates the effectiveness of the proposed control algorithm. The results show that ESNBIMC achieves satisfactory tracking performance. © 2012 Springer-Verlag London Limited.

关键词： Controllers

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Sliding mode control with fuzzy compensator of pneumatic muscle actuator

Sliding mode control with fuzzy compensator of pneumatic mus...

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作者： Wu, Jun Wang, Yongji Huang, Jian Xing, Kexin Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering HuaZhong University of Science and Technology Wuhan Hubei China

In this paper, the Pneumatic Muscle (PM) as actuator is investigated. The PM model is established by using a phenomenological model consisting of a contractile element, a spring element, and a damping element in parallel. Unlike the previous study, we fully consider the different characteristics of PM model in different pressure ranges, especially in low pressure range. In order to test the effectiveness of our PM modelling, the Sliding Mode Control (SMC) is applied. For the purpose of improving the tracking accuracy, self-adaptation and robustness of PM control, Sliding Mode Control with Fuzzy Compensator (FCSMC) is developed to make PM system track a desired trajectory within a guaranteed accuracy even though there are modelling uncertainties, friction, disturbance, and so on. Based on the Lyapunov theory, the stability criterion under FCSMC control strategy for PM system is established. The experimental results demonstrate the validity of PM modelling as well as indicate the effectiveness of the proposed FCSMC method. Copyright © 2012 Inderscience Enterprises Ltd.

关键词： Sliding mode control

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Variable structure multiple model for articulated human motion tracking from monocular video sequences

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Science China(Information Sciences) 2012年第5期55卷 1138-1150页

作者： HAN Hong 1,TONG MingLei 2,CHEN ZhiChao 1 & FAN YouJian 1 1 key laboratory of intelligent Perception and image Understanding of Ministry of Education of China,Institute of intelligent Information processing,Xidian University,Xi'an 710071,China 2 School of Computer and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China 1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an 710071 China2. School of Computer and Information Engineering Shanghai University of Electric Power Shanghai 200090 China

A new model-based human body tracking framework with learning-based theory is introduced in this *** propose a variable structure multiple model (VSMM) framework to address challenging problems such as uncertainty of motion styles,imprecise detection of feature points,and ambiguity of joint *** human joint points are detected automatically and the undetected points are estimated with Kalman *** motion models are learned from motion capture data using a ridge regression *** model set that covers the total motion set is designed on the basis of topological and compatibility relationships,while the VSMM algorithm is used to estimate quaternion vectors of joint *** using real image sequences and simulation videos demonstrate the high efficiency of our proposed human tracking framework.

关键词： human motion tracking ridge regression model groups design variable structure multiple model (VSMM) motion model group adaptation

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A novel small dim infrared target detecting method based on grayscale merging and connected components analysis

A novel small dim infrared target detecting method based on ...

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2012 International Conference on Modelling, Identification and Control, ICMIC 2012

作者： Zhang, Ying Wang, Min Niu, Shaoqing Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780956715715

Target detecting algorithm in infrared image is drawing extensive attention both at home and abroad, expecially when the infrared images own complex backgrounds and low resolution. How to make sure of the accuracy of infrared dim-small target detecting is the key point during the processing procedure. In this paper, a novel region of interest detecting algorithm is proposed for aerial small dim infrared target with clutter background. Different from traditional region of interest extraction method, we extract region of interest based on the grayscale merging algorithm and connected components analysising approach. First, the infrared image is reconstructed by separating the grayscale into several interval sections, then binarization is used to segment the processed image according to estimate the threshold value using minimum error probability;finally, analysis and select the connected components, to sift the accurate connected domain which contain the target. The validity of the proposed approach is demonstrated by experiment of infrared target region extraction. © 2012 Huazhong Univ of Sci & Tec.

关键词： Object detection

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