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2011 International Conference on Future Management Science and Engineering(ICFMSE 2011)

作者： Chun Lu Xiao-jie Chen Xiao-long Shi Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology

Membrane computing identifies an unconventional computing model,namely a P system,from natural phenomena of objects evolutions and chemical reactions in the living *** the nature of maximal parallelism in this model,P systems have a great potential for implementing massively concurrent systems as an efficient computing *** systems with proteins on membranes(MP systems,for short) are a variant of P systems paying a more attention to the proteins on *** the original definition of MP systems,rules are also called to be applied in a maximally parallel ***,in some cases a sequential model may be a more reasonable *** this work,we study the computational power of sequential MP systems and look at MP systems operating on multisets of objects and *** show that they are equivalent to vector addition systems.

关键词： Membrane computing,Membrane system,Membrane protein,Sequential system,Vector addition system

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Adaptive Tracking Control of Rigid-Link Flexible-Joint Robot Manipulator with Uncertainties

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IFAC Proceedings Volumes 2011年第1期44卷 10300-10306页

作者： Chao Liu Xianbo Xiang Philippe Poignet LIRMM French Nation Center for Scientific Research (C.N.R.S.) Montpellier 34095 France Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology 430074 P.R.China

Abstract Joint flexibility is an important factor to consider in the robot control design if high performance is expected for the robot manipulators. In this paper, we propose an adaptive tracking control method which can deal with the kinematics uncertainty and uncertainties in both link and actuator dynamics of the rigid-link flexible-joint (RLFJ) robot system. Adaptive observers are designed to avoid acceleration measurements due to the fourth-order overall system dynamics. Convergence of both end-effector tracking errors and observing errors are proven and sufficient conditions are presented to guarantee system's asymptotic stability.

关键词： Robot manipulator flexible joint adaptive control observer

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A Fully Implantable Stimulator with Wireless Power and Data Transmission for Experimental Use in Epidural Spinal Cord Stimulation

A Fully Implantable Stimulator with Wireless Power and Data ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Qi Xu Jun Li Wenjuan Han Houlun Zhou Key Laboratory of Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science & Technology Department of Anatomy Tongji medical college Huazhong University of Science & Technology

ISBN: (纸本)9781424441211

Epidural spinal cord stimulation (ESCS) combined with partial weight bearing therapy (PWBT) has been reported to facilitate recovery of functional walking for individuals after chronic incomplete spinal cord injury. This paper describes a low cost, fully implantable, advanced ESCS stimulator that can be manufactured in a research laboratory for use in small animals. The system is composed of four main parts: an external personal digital assistant (PDA), an external controller, an implantable pulse generator (IPG), lead extension and electrode. The PDA allows the experimenter to program the stimulation parameters through a user-friendly graphical interface. The external controller placed on the rat back communicates with PDA via RF telemetry. The IPG generates the biphasic charge-balanced voltage-regulated pulses, which are delivered to the bipolar electrode by the lead extension to achieve chronic ESCS in freely moving rats. A RF carrier from the Class-E amplifier in the external controller provides both data and power for the implanted circuitry through a closely coupled inductive link. The IPG is hermetically packaged using a silicon elastomer and measures 22mm×23mm×7mm with a mass of ~3.78g.

关键词： Class-E amplifier Epidural spinal cord stimulation Incomplete spinal cord injury Inductive link Rat

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Global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays

Global asymptotic stability of fuzzy cellular neural network...

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International Conference on Information Science and Technology (ICIST)

作者： Chongjun Zhu Gang Bao College of Mathematics and Statistics Hubei Normal University Huangshi China Department of Control Science and Engineering Key Laboratory of Image Processing Intelligent Control of Education Ministry China Wuhan Hubei China

The global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays and Lipschitz continuous activation functions is investigated in this brief. Based on the concept of comparison, som... 详细信息

ISBN: (纸本)9781424494408

关键词： Delay Asymptotic stability Cellular neural networks Circuit stability Artificial neural networks Stability analysis Circuits and systems

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Content- and semantic-based progressive multimodal image retrieval

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ICIC Express Letters 2011年第1期5卷 201-206页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Zhang, Xiaoli Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Qianjin Avenue Changchun 130012 China Institute of Computer Graphics and Image Processing Dalian Nationalities University Economic and Technological Development Zone Liaohe Road Dalian 116600 China

image retrieval has been an active research topic due to its great importance in the field of image management, digital library and web searching. However, the performances of the existing approaches, including text-based or content-based image retrieval, are often unsatisfactory. Inspired by text-based image retrieval, we propose semantic-based approach, whose similarity computation is semantic relevance rather than word matching. In this paper, a novel approach of progressive image retrieval based on content and semantic is proposed. The proposed retrieval model overcomes the drawbacks of pure content-based and text-based image retrieval, which exploits the strengths of both semantic- and content-based methods, minimizing their weaknesses. Experiments demonstrate the effectiveness and efficiency of the proposed method for image retrieval. © 2011 ISSN.

关键词： Semantics

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Chaos analysis and control in a chaotic circuit with a PWL memristor

Chaos analysis and control in a chaotic circuit with a PWL m...

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International Conference on Information Science and Technology (ICIST)

作者： Shiping Wen Yi Shen Zhigang Zeng Yanxia Cai Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China Fenghuang Middle School Xinzhou Wuhan Hubei China

ISBN: (纸本)9781424494408

In this paper, a nonlinear chaotic system is presented, which is derived from the chua's circuit with a memristor. This is a four-dimensional autonomous circuit which exhibits chaotic behavior. The chaotic system is demonstrated by Lyapunov exponent, and phase portraits. Furthermore, this system can be stabilized by a switched feedback controller which can be obtained by solving a set of LMIs. And the results will be demonstrated by the numerical simulation.

关键词： Memristors Switches

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Predictive Control of Vehicle Based on Echo State Network

Predictive Control of Vehicle Based on Echo State Network

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International Conference on Intelligence Science and Information Engineering (ISIE)

作者： Shaobo Ni Lei Liu Zhishen Wang Zirui Wang School of AeroSpace Engineering Beijing Institute of technology Beijing China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China

An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness and traceability. Then, the stability of the system is proved by Lyapunov function. Finally, the numerical simulation results of step-response and attitude tracking illustrate the robustness and effect of the method.

关键词： Predictive control Aerospace control Training Sparse matrices Neurons Aircraft Mathematical model

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Quantum Immune Clonal Selection Algorithm for Multi-objective 0/1 Knapsack Problems

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Chinese Physics Letters 2010年第1期27卷 37-40页

作者：尚荣华焦李成李阳阳吴建设 Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Institute of Intelligent Information Processing Xidian University Xi'an 710071

Based on the concept and principles of quantum computing and the principle of the immune clonal selection, a new algorithm for multi-objective 0/1 knapsack problems is introduced. In the algorithm, for the novel representation, qubit antibodies in the antibody population are updated by applying a new chaos update strategy. A quantitative metric is used for testing the convergence to the Pareto-optimal front. Simulation results on the 0/1 knapsack problems show that the new algorithm, in most cases, is more effective.

关键词： Chinese climate network complex systems small world community

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Breaking DES in tile assembly models

Breaking DES in tile assembly models

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Zhihua Chen Jin Xu Xiaolong Shi Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China School of Electronics Engineering and Computer Science Peking University Beijing China

The potential use of molecular computation in attacking the Data Encryption Standard (DES) is already known, but the used computing models are not autonomous and require many tedious laboratory steps to execute. In this paper, a description of attacking DES using tile self assembly models in Θ(1) distinct tile types is given theoretically. The computation takes advantage of tiles' autonomy and the characteristic of highly distributed parallel computation. Each assembly configuration yields the ciphertext in linear time with respect to the times of the round function included in DES. The feasibility of finding the main key of DES in tile assembly models has been discussed. Analysis indicates that the tile assembly models might succeed by using a little of DNA under low error rate.

关键词： Tiles Assembly Computational modeling Encryption Self-assembly IP networks Mathematical model

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An immune memory clonal algorithm for numerical and combinatorial optimization

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中国计算机科学前沿 2010年第4期4卷 536-559页

作者： Ruochen LIU Licheng JIAO Yangyang LI Jing LIU Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information ProcessingXidian UniversityXi'an 710071China

Inspired by the clonal selection theory together with the immune network model, we present a new artificial immune algorithm named the immune memory clonai algorithm (IMCA). The clonal operator,inspired by the immune system, is discussed first. The IMCA includes two versions based on different immune memory mechanisms; they are the adaptive immune memory clonal algorithm (AIMCA) and the immune memory clonal strategy (IMCS). In the AIMCA, the mutation rate and memory unit size of each antibody is adjusted dynamically. The IMCS realizes the evolution of both the antibody population and the memory unit at the same time. By using the clonal selection operator, global searching is effectively combined with local *** to the antibody-antibody (Ab-Ab) affinity and the antibody-antigen (Ab-Ag) affinity, The IMCA can adaptively allocate the scale of the memory units and the antibody population. In the experiments, 18 multimodal functions ranging in dimensionality from two, to one thousand and combinatorial optimization problems such as the traveling salesman and knapsack problems (KPs)are used to validate the performance of the IMCA. The computational cost per iteration is presented. Experimental results show that the IMCA has a high convergence speed and a strong ability in enhancing the diversity of the population and avoiding premature convergence to some degree. Theoretical roof is provided that the IMCA is convergent with probability 1.

关键词： artificial immune system (AIS) clonal selection immune memory immune network model evolutionary computation knapsack problem(KP) traveling salesman problem(TSP)

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