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IEEE Conference on Decision and control

作者： Dong Yue Engang Tian Qing-Long Han Department of Control Science and Engineering and the Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei 430074 China School of Electrical and Automation Engineering Nanjing Normal University 78 Bancang Street Nanjing 210042 China Center for Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton Qld 4702 Australia

ISBN: (纸本)9781612848006

The event-triggered H_(infinity) control design is investigated for networked control systems with uncertainties and transmission delays. A novel event-triggering scheme is proposed, which has some advantages over traditional ones with a continuous detector. Considering the effect of the transmission delay, a delay system model for the analysis is firstly constructed. Then, based on the model and Lyapunov functional method, criteria for the stability with an H_(infinity) norm bound and criteria for the co-design of both the feedback gain and the trigger parameters are derived. In order to solve the feedback gain and the trigger parameters, the linear matrix inequality technique is employed. From the simulation example, it can be concluded that the proposed event-triggering scheme is superior to some other event-triggering schemes in some existing literature.

关键词： feedback gain Networked control systems Event trigger Delay systems Scheme Co-design control systems design control

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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 weakly universal spiking neural P system

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MATHEMATICAL AND COMPUTER MODELLING 2010年第11-12期52卷 1940-1946页

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

Looking for small universal computing devices is a natural and well investigated topic in computer science. Recently, this topic was also investigated in the framework of spiking neural P systems. One of the small universality results is that a small weakly universal extended spiking neural P system with 12 neurons was constructed. In this paper, a new way is introduced for simulating register machines by spiking neural P systems, where only one neuron is used for all instructions of the register machine;in this way, we can use less neurons to construct universal spiking neural P system. Specifically, we give a smaller weakly universal spiking neural P system that uses extended rules and has only 9 neurons. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Membrane computing Spiking neural P system Universality Register machine

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Memetic computation based on regulation between neural and immune systems: the framework and a case study

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Science China(Information Sciences) 2010年第8期53卷 1519-1527页

作者： GONG MaoGuo , JIAO LiCheng, LIU Fang & YANG Jie key lab of intelligent Perception and image Understanding of Ministry of Education of China, Institute of intelligent Information processing, Xidian University, Xi’an 710071, China 1. Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an 710071 China

Lamarckian learning has been introduced into evolutionary computation to enhance the ability of local search. The relevant research topic, memetic computation, has received significant amount of interest. In this study, a novel memetic computational framework is proposed by simulating the integrated regulation between neural and immune systems. The Lamarckian learning strategy of simulating the unidirectional regulation of neural system on immune system is designed. Consequently, an immune memetic algorithm based on the Lamarckian learning is proposed for numerical optimization. The proposed algorithm combines the advantages of immune algorithms and mathematical programming, and performs well in both global and local search. The simulation results based on ten low-dimensional and ten high-dimensional benchmark problems show that the immune memetic algorithm outperforms the basic genetic algorithm-based memetic algorithm in solving most of the test problems.

关键词： memetic computation artificial immune system Lamarckian learning genetic algorithm numerical optimization

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control of a rehabilitation robotic exoskeleton based on intentional reaching direction

Control of a rehabilitation robotic exoskeleton based on int...

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21st Annual Symposium on Micro-Nano Mechatronics and Human Science, MHS 2010, Micro-Nano GCOE 2010, Bio-Manipulation 2010

作者： Huo, Weiguang Huang, Jian Wang, Yongji Wu, Jun Key Lab of Image Processing and Intelligent Control Department of Control Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424479962

An upper limb robotic exoskeleton of three degrees of freedom (DOF) is designed for the patients who survived stroke and the elderly who have not enough strength to move their limbs freely. Particular attention is paid to the realization of a intention-driven robotic control approach, by which the robotic exoskeleton can assist the user moving his/her arm freely to where he/she intends to go. A force sensing system made of multiple force sensing resisters (FSRs) is embedded in the robotic exoskeleton. A static force model of the upper limb in a relaxed state is obtained when the user wears the exoskeleton. A hybrid model is proposed to describe the behavior modes of human upper limb motion. Filtering technology is designed to infer the intended moving direction of upper limb based on the measured force information and the static force model. The motion intention of user's upper limb can be online estimated using the filter and a mode transition detector. Guided by the inferred intention, an admittance control strategy is assumed to control the motors of each DOF. The effectiveness of proposed robotic system and control approaches is evaluated by experiments. ©2010 IEEE.

关键词： Degrees of freedom (mechanics)

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Membrane Systems with Peripheral Proteins Using Cell Division

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JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE 2010年第11期7卷 2355-2359页

作者： Xu, Lei Lu, Chun Zhang, Zheng Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

Membrane systems are parallel molecular computing models basing on processing multisets of objects in cell-like membrane structures. Inspired by brane calculi, membrane systems with peripheral proteins which differ from conventional membrane systems have been investigated. In order to get the possibility to solve computationally hard problems in polynomial time, cell division rule is introduced into this model, which is endowed with the ability of generating an exponential workspace in a linear time. In this paper, a solution for SAT problem by this model is presented.

关键词： Membrane System Peripheral Protein Cell Division NP-Complete Problem SAT Problem

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An RFID-based digital warehouse management system in the tobacco industry: a case study

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2010年第9期48卷 2513-2548页

作者： Wang, Hongwei Chen, Shuang Xie, Yong Huazhong Univ Sci & Technol Inst Syst Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

This paper proposes a digital warehouse management system (DWMS) in the tobacco industry based on radio frequency identification (RFID) technology. The DWMS helps warehouse managers to achieve better inventory control, as well as to improve the operation efficiency. In this system, a set of basic events and storage/retrieval rules are defined as event-condition-action (ECA) rules to improve the feasibility and flexibility of DWMS. By using RFID technology, the DWMS enables a plane warehouse to achieve visualised inventory management, automatic storage/retrieval assignment and high accuracy of inventory control as an automatic warehouse. A case in the tobacco industry is studied to illustrate the feasibility and rationality of the proposed system. Based on the ECA rules, a storage/retrieval methodology is proposed to improve the storage/retrieval operations. The results of this case study illustrate that RFID-DWMS can help a plane warehouse to improve operation efficiency, enhance the utilisation of warehouse capacity, increase inventory accuracy and reduce manpower and loading time significantly.

关键词： radio frequency identification digital warehouse management system storage/retrieval assignment event-condition-action digital pallet digital shelf

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Hybrid immune algorithm with Lamarckian local search for multi-objective optimization

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Memetic Computing 2010年第1期2卷 47-67页

作者： Gong, Maoguo Liu, Chao Jiao, Licheng Cheng, Gang Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University 710071 Xi'an China

Lamarckian learning has been introduced into evolutionary computation as local search mechanism. The relevant research topic, memetic computation, has received significant amount of interests. In this study, a novel Lamarckian learning strategy is designed for improving the Nondominated Neighbor Immune Algorithm, a novel hybrid multi-objective optimization algorithm, Multi-objective Lamarckian Immune Algorithm (MLIA), is proposed. The Lamarckian learning performs a greedy search which proceeds towards the goal along the direction obtained by Tchebycheff approach and generates the improved progenies or improved decision vectors, so single individual will be optimized locally and the newcomers yield an enhanced exploitation around the nondominated individuals in less-crowded regions of the current trade-off front. Simulation results based on twelve benchmark problems show that MLIA outperforms the original immune algorithm and NSGA-II in approximating Pareto-optimal front in most of the test problems. When compared with the state of the art algorithm MOEA/D, MLIA shows better performance in terms of the coverage of two sets metric, although it is laggard in the hypervolume metric. © 2009 Springer-Verlag.

关键词： Artificial immune system Lamarckian learning Memetic algorithm Multi-objective optimization

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One-time-pads encryption in the tile assembly model

One-time-pads encryption in the tile assembly model

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作者： Chen, Zhihua Xu, Jin Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Recent research has demonstrated that the ultra-scale computation by self-assembly DNA tiles can be implemented in the laboratory. One of the significant applications is the DNA-based cryptography systems. In this paper, we detail procedures for the DNA-based One-Time-Pads (OTP) cryptography, which is in principle unbreakable. In order to implement the whole encrypting and decrypting processes, we propose four tile systems: encrypting system, ciphertext extracting system, key extracting system and decrypting system. All the tile systems use θ(1) input tiles and compute in θ(n) steps according to the length of the input massage. The method of implementing the DNA OTP encryption extends the self-assemble tile models and achieves the real randomness in the DNA OTP. Copyright © 2010 American Scientific Publishers. All rights reserved.

关键词： Cryptography

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A Regularized Super Resolution Algorithm for Generalized Gaussian Noise

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Journal of Donghua University(English Edition) 2010年第1期27卷 25-35页

作者：陈文方向忠刘立峰蒋伟丁大为乔艳涛 Institute of Image Communication and Information Processing Shanghai Jiaotong University Computer and Information Department Shanghai University of Electric Power Key Lab oratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is *** on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted to measure the data fidelity term in the cost *** the meantime,a regularization functional defined in terms of the desired high resolution (HR) image is employed,which allows for the simultaneous determination of its value and the partly reconstructed image at each iteration *** convergence is thoroughly *** results show the effectiveness of the proposed algorithm as well as its superiority to conventional SR methods.

关键词： super resolution generalized p-Gaussian distribution regularization parameter

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