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A uniform solution to the independent set problem through tissue P systems with cell separation

Frontiers of Computer Science 2012年第4期6卷 477-488页

作者： Xingyi ZHANG Xiangxiang ZENG Bin LUO Zheng ZHANG Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230039China Department of Computer Science Xiamen UniversityXiamen 361005China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Membrane computing is an emergent branch of natural computing, which is inspired by the structure and the functioning of living cells, as well as the organization of cells in tissues, organs, and other higher order structures. Tissue P systems are a class of the most investigated computing mod- els in the framework of membrane computing, especially in the aspect of efficiency. To generate an exponential resource in a polynomial time, cell separation is incorporated into such systems, thus obtaining so called tissue P systems with cell separation. In this work, we exploit the computational efficiency of this model and construct a uniform family of such tissue P systems for solving the independent set problem, a well-known NP-complete problem, by which an efficient so- lution can be obtained in polynomial time.

关键词： membrane computing tissue P system cell sep- aration independent set problem

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A novel DNA computing model based on RecA-mediated triple-stranded DNA structure

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Progress in Natural Science:Materials International 2007年第6期17卷 708-711页

作者： Fang Gang1, Zhang Shemin2, Dong Yafei1 and Xu Jin1(1. The key laboratory of image processing and intelligent control, Department of control Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 2. Shaanxi University of Technology, Hanzhong 723000, China) [a]The Key Laboratory of Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China [b]Shaanxi University of Technology Hanzhong China

The field of DNA computing emerged in 1994 after Adleman’s paper was published. Henceforth,a few scholars solved some noted NP-complete problems in this way. And all these methods of DNA computing are based on conventional Watson-Crick hydrogen bond of doublehelical DNA molecule. In this paper, we show that the triple-stranded DNA structure mediated by RecA protein can be used for solving computational problems. Sequence-specific recognition of double-stranded DNA by oligonucleotide-directed triple helix (triplex) formation is used to carry out the algorithm. We present procedure for the 3-vertex-colorability problems. In our proposed procedure, it is suggested that it is possible to solve more complicated problems with more variables by this model.

关键词： DNA computing 3-vertex-colorability problem.

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A global heuristically search algorithm for DNA encoding

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Progress in Natural Science:Materials International 2007年第6期17卷 745-749页

作者： Zhang Kai, Pan Linqiang and Xu Jin (The key laboratory of image processing and intelligent control, Department of control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China) [a]The Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

A new efficient algorithm is developed to design DNA words with equal length for DNA computing. The algorithm uses a global heuristic optimizing search approach and converts constraints to a carry number to accelerate the convergence, which can generate a DNA words set satisfying some thermodynamic and combinatorial constraints. Based on the algorithm, a software for DNA words design is developed.

关键词： DNA computing encoding heuristic optimizing search

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A novel method of constructing high-dimensional digital chaotic systems on finite-state automata

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Chinese Physics B 2020年第9期29卷 233-243页

作者： Jun Zheng Han-Ping Hu School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Image Information Processing and Intelligent Control Ministry of EducationWuhan 430074China

When chaotic systems are implemented on finite precision machines, it will lead to the problem of dynamical degradation. Aiming at this problem, most previous related works have been proposed to improve the dynamical degradation of low-dimensional chaotic maps. This paper presents a novel method to construct high-dimensional digital chaotic systems in the domain of finite computing precision. The model is proposed by coupling a high-dimensional digital system with a continuous chaotic system. A rigorous proof is given that the controlled digital system is chaotic in the sense of Devaney's definition of chaos. Numerical experimental results for different high-dimensional digital systems indicate that the proposed method can overcome the degradation problem and construct high-dimensional digital chaos with complicated dynamical properties. Based on the construction method, a kind of pseudorandom number generator (PRNG) is also proposed as an application.

关键词： high-dimensional digital chaotic system dynamical degradation anti-control pseudorandom number generator

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Signal processing for sound synthesis:: Computer-generated sounds and music for all

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IEEE SIGNAL processing MAGAZINE 2007年第2期24卷 8-+页

作者： Valimaki, Vesa Rabenstein, Rudolf Rocchesso, Davide Serra, Xavier Smith, Julius O. Key Lab of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an China Key Lab of Radar Signal Processing Xidian University Xi'an China

Almost everybody uses sound synthesis in their daily lives, although many may not know it.

关键词： Editors signal processing Music Synthesis of Sound

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Online Reinforcement Learning control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2025年

作者： Li, Yuan Han, Yiyan Chen, Chongyang Zeng, Zhigang Sun, Jiankun Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Artificial Intelligence Wuhan 430074 Peoples R China Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Xinyang Normal Univ Sch Comp & Informat Technol Xinyang 464000 Peoples R China

In this article, an online reinforcement learning (RL) control method through value iteration (VI) is developed to solve the optimal cooperative control problem for the unknown linear discrete-time multiagent systems (MASs). On the one hand, an online learning scheme with evolving policies is proposed in order to guarantee the stability of the MASs under immature policies generated by VI. Inspired by the event-triggered mechanism, the stability criterion is designed as a trigger to filter the admissible control policies, which eliminates the need to establish a monotonic value function sequence. On the other hand, an acceleration mechanism for the MASs is presented such that the convergence rate of VI can be accelerated. The relationship between the selection of the relaxation factor and the accelerated convergence process is elaborated. Simple backpropagation (BP) neural networks (NNs) are applied for the implementation. Two classical examples are introduced and simulation results are provided in order to substantiate the validity of the designed method.

关键词： Stability criteria Optimal control Artificial neural networks Convergence Hands Event detection Topology Multi-agent systems Vectors Training Accelerated convergence rate multiagent systems (MASs) neural networks (NNs) online adaptive dynamic programming reinforcement learning (RL) value iteration (VI)

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Smaller Universal Spiking Neural P Systems

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FUNDAMENTA INFORMATICAE 2008年第1期87卷 117-136页

作者： Zhang, Xingyi Zeng, Xiangxiang Pan, Linqiang Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

The problem of finding small universal spiking neural P systems was recently investigated by Andrei Paun and Gheorghe Paun, for spiking neural P systems used as devices computing functions and as devices generating sets of numbers. For the first case, a universal spiking neural P system was produced by using 84 neurons for standard rules and using 49 neurons for extended rules. For spiking neural P systems used as generators of sets of numbers, a universal system with standard rules having 76 neurons, and one with extended rules having 50 neurons were obtained. In this paper, we continue the study of small universal spiking neural P systems and we improve in the number of neurons as follows. The small universal spiking neural P systems use 67 neurons for standard rules and 41 neurons for extended rules in the case of computing functions, and 63 neurons for standard rules and 41 neurons for extended rules in the case of generating sets of numbers.

关键词： membrane computing SN P systems small universal SN P systems

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Tracking control of pneumatic artificial muscle actuators based on sliding mode and non-linear disturbance observer

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IET control THEORY AND APPLICATIONS 2010年第10期4卷 2058-2070页

作者： Xing, K. Huang, J. Wang, Y. Wu, J. Xu, Q. He, J. Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Dept Control Sci & Technol Wuhan 430074 Peoples R China

The dynamic properties and non-linear control of the pneumatic muscle actuator (PMA) were investigated in this study for use in a specially designed hand rehabilitation device. The phenomenological model of PMA was established in the lower pressure range applicable for hand rehabilitation. The experimental results show that PMA's characteristics can be approximated by piecewise functions. In order to improve the performance and robustness of control for accurate trajectory tracking, a sliding mode control based on non-linear disturbance observer (SMCBNDO) was designed. The simulation and experimental results demonstrated that the model and the sliding mode control achieved the desired performance in tracking a desired trajectory within guaranteed accuracy. The work indicates that the model and the non-linear control proposed in this study can be applied in PMA-driven hand function rehabilitation devices requiring lower pressures.

关键词： SMCBNDO nonlinear disturbance observer sliding mode control Robotics Multivariable control systems pneumatic artificial muscle actuators variable structure systems phenomenological model pneumatic actuators Nonlinear control systems patient rehabilitation medical robotics dynamic property pneumatic muscle actuator nonlinear control Prosthetics and other practical applications nonlinear control systems Hydraulic and pneumatic control equipment tracking trajectory tracking hand rehabilitation device observers PMA artificial limbs tracking control Prosthetic and orthotic control systems

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A Three-Dimensional Cooperative Guidance Law of Multimissile System

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INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING 2015年第1期2015卷 479427.1-479427.1页

作者： Wei, Xing Wang, Yongji Dong, Shuai Liu, Lei HUST Minist Educ Image Proc & Intelligent Control Key Lab Sch Automat Wuhan 430074 Peoples R China

In order to conduct saturation attacks on a static target, the cooperative guidance problem of multimissile system is researched. A three-dimensional guidance model is built using vector calculation and the classic proportional navigation guidance (PNG) law is extended to three dimensions. Based on this guidance law, a distributed cooperative guidance strategy is proposed and a consensus protocol is designed to coordinate the time-to-go commands of all missiles. Then an expert system, which contains two extreme learning machines (ELM), is developed to regulate the local proportional coefficient of each missile according to the command. All missiles can arrive at the target simultaneously under the assumption that the multimissile network is connected. A simulation scenario is given to demonstrate the validity of the proposed method.

关键词： missiles Guidance Scale factor 3-dimensional guidance commands Expert System

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Fuzzy support vector machine for classification of EEG signals using wavelet-based features

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MEDICAL ENGINEERING & PHYSICS 2009年第7期31卷 858-865页

作者： Xu, Qi Zhou, Hui Wang, Yongji Huang, Jian Huazhong Univ Sci & Technol Dept Control Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes the application of a fuzzy support vector machine (FSVM) with a radial basis function kernel for classifying motor imagery tasks, while the statistical features over the set of the wavelet coefficients were extracted to characterize the time-frequency distribution of EEG signals. In the proposed FSVM classifier, a low fraction of support vectors was used as a criterion for choosing the kernel parameter and the trade-off parameter, together with the membership parameter based solely on training data. FSVM and support vector machine (SVM) classifiers outperformed the winner of the BCI Competition 2003 and other similar studies on the same Graz dataset, in terms of the competition criterion of the mutual information (MI), while the FSVM classifier yielded a better performance than the SVM approach. FSVM and SVM classifiers perform much better than the winner of the BCI Competition 2005 on the same Graz dataset for the subject 03 according to the competition criterion of the maximal MI steepness, while the FSVM classifier outperforms the SVM method. The proposed FSVM model has potential in reducing the effects of noise or outliers in the online classification of EEG signals in BCIs. (C) 2009 IPEM. Published by Elsevier Ltd. All rights reserved.

关键词： Brain-computer interface Discrete wavelet transform Fuzzy support vector machine Motor imagery Electroencephalogram

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