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International Symposium on Micromechatronics and Human Science (MHS)

作者： Jun Wu Jian Huang Yongji Wang Kexin Xing Qi Xu Key Laboratory of Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China

Intensive task-oriented repetitive physical therapies need be provided by individualized interaction between the patients and the rehabilitation specialists to improve hand motor performance for those survived from stroke and traumatic brain injury. The goal of this research is to develop a novel wearable device for robotic assisted hand repetitive therapy. We designed a pneumatic muscle (PM) driven therapeutic device that is wearable and provides assistive forces required for grasping and finger extension. The robot has two distinct degrees of freedom at the thumb and all other fingers. The embedded sensors can feedback position and force information for robot control and quantitative evaluation of task performance. It is potential of providing supplemental at-home therapy in addition to in the clinic treatment. To realize the trajectory tracking control, a fuzzy PID controller is designed for the proposed device. The experimental results show angle tracking control of the robotic hand using the fuzzy PID controller has better performance than that using a conventional PID controller.

关键词： Fuzzy control Three-term control Rehabilitation robotics Muscles Medical treatment Robot sensing systems Fingers Force feedback Robot control Brain injuries

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A weakly universal spiking neural P system

A weakly universal spiking neural P system

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Xiangxiang Zeng Chun Lu Linqiang Pan Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei 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 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 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.

关键词： Neurons Tin Registers Biomembranes Computational modeling Encoding Decoding intelligent control control systems Computer science

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Improvement of directed diffusion protocol based on data aggregation

Improvement of directed diffusion protocol based on data agg...

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2009 International Conference on Computational Science and Engineering, CSE '09

作者： Hui, Chen Yufeng, Shi Ye, Wang Yang, Laurence T. Naixue, Xiong Key laboratory of ministry of education for image processing and intelligent control Huazhong University of Science and Technology Wuhan China Department of Computer Science St Francis Xavier University Canada Department of Computer Science Georgia State University Georgia GA United States

ISBN: (纸本)9780769538235

How to make full use of the limited energy available and prolonging the survival time of node is a major concern in research on Wireless Sensor Networks (WSNs). This paper presented an improved approach based on Directed Diffusion Protocol (DDP) which could meet the features of WSN, such as data-oriented, many-to-one transmissions and low energy costs, together with data aggregation mechanisms which emphasized on cascading timeouts, to eliminate the redundancy caused by the transmission of large amounts of data. This modified protocol prohibited the direct forwarding of central nodes, balancing data traffic of different sensors between the source and the sink, and proved to be able of reducing total network flows, energy consumptions and prolonging the lifetime of the network through simulations.

关键词： Sensor nodes

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Decoupling guaranteed cost control of BTT vehicle based on LMI

Decoupling guaranteed cost control of BTT vehicle based on L...

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IEEE International Conference on intelligent Computing and intelligent Systems (ICIS)

作者： Zhixiang Deng Yongji Wang Lei Liu Chuanfeng Li Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424447374;9781424447541

This paper presents a new approach for coupling control problems for norm bounded continuous-time uncertain systems. Firstly, a design of the state feedback decoupling controller is presented. The nominal model could be decoupled completely and the coupling of the actual system would be reduced. Secondly, based on the linear matrix inequality (LMI), combining the guaranteed cost control law with the decoupling control, the state feedback tracking guaranteed cost control law is proposed. Finally, taking BTT vehicle as the research objective, the design procedure of the decoupling guaranteed cost controllers is shown and the final results of the simulation are proved with effectiveness for the proposed design approach.

关键词： Costs Vehicles control systems Uncertain systems Robust control State feedback Linear matrix inequalities Linear feedback control systems Uncertainty Missiles

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Constrained trajectory optimization using migrant particle swarm optimization algorithm

Constrained trajectory optimization using migrant particle s...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Fuqiang Xie Yongji Wang Zongzhun Zheng Da Zhang Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

A novel PSO algorithm, the Migrant Particle Swarm Optimization (Migrant PSO), is presented to solve the trajectory optimization problem in the presence of constraints such as dynamic pressure and overload. Imitating the behaviour of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum peak heat rate reentry trajectory optimization for X-33 vehicle model with free terminal time, some key problems such as parameterized method are argued in detail. The simulation results indicate that the Migrant PSO algorithm proves to be able to generate a complete and optimal 3DOF reentry trajectory rapidly.

关键词： Constraint optimization Particle swarm optimization Stochastic processes Ant colony optimization Optimization methods Search methods Space vehicles Pressure control Birds Optimal control

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Rapid trajectory optimization based on Migrant PSO

Rapid trajectory optimization based on Migrant PSO

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IEEE International Conference on intelligent Computing and intelligent Systems (ICIS)

作者： Fuqiang Xie Yongji Wang Chuanfeng Li Dangjun Zhao Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424447374;9781424447541

This paper proposes a rapid trajectory optimization approach using a novel PSO algorithm, the Migrant particle swarm optimization (Migrant PSO). Imitating the behavior of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum control energy reentry trajectory optimization for X-33 vehicle model with free terminal time, some key problems such as parameterized method are argued in detail. The simulation results indicate that the Migrant PSO algorithm proves to be able to generate a complete and optimal 3DOF reentry trajectory rapidly.

关键词： Birds Stochastic processes Search methods Optimization methods Space technology Particle swarm optimization Vehicles Design optimization Programmable control Adaptive control

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Adaptive dynamic inversion robust control for BTT missile based on wavelet neural network

Adaptive dynamic inversion robust control for BTT missile ba...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Li, Chuanfeng Wang, Yongji Deng, Zhixiang Wu, Hao Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China Luoyang Institute of Science and Technology 90 Wangcheng Avenue Luoyang 471023 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control 1037 Luoyu Road Wuhan 430074 China

ISBN: (纸本)9780819478078

A new nonlinear control strategy incorporated the dynamic inversion method with wavelet neural networks is presented for the nonlinear coupling system of Bank-to-Turn(BTT) missile in reentry phase. The basic control law is designed by using the dynamic inversion feedback linearization method, and the online learning wavelet neural network is used to compensate the inversion error due to aerodynamic parameter errors, modeling imprecise and external disturbance in view of the time-frequency localization properties of wavelet transform. Weights adjusting laws are derived according to Lyapunov stability theory, which can guarantee the boundedness of all signals in the whole system. Furthermore, robust stability of the closed-loop system under this tracking law is proved. Finally, the six degree-of-freedom(6DOF) simulation results have shown that the attitude angles can track the anticipant command precisely under the circumstances of existing external disturbance and in the presence of parameter uncertainty. It means that the dependence on model by dynamic inversion method is reduced and the robustness of control system is enhanced by using wavelet neural network(WNN) to reconstruct inversion error on-line. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Lyapunov functions

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Skeleton-based fast path planning for UAV

Skeleton-based fast path planning for UAV

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Liu, Xin Zhou, Chengping Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A new path planning method for UAV in static workspace is presented. The method can find a nearly optimal path in short time which satisfies the UAV kinematic constraints. The method makes use of the skeletons to construct the graph of the planning space considering the configuration of the obstacles and utilizes the graph to find a shortest collision-free path, and a novel technique is utilized to convert the free path into a feasible path. The method can be applied to different applications and easy to be implemented. Experimental results showed that the path planning can be done in a fraction of second on a contemporary workstation (2-3 seconds) under the condition of satisfying the kinematic constraints. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Decentralized adaptive stabilization of stochastic nonlinear interconnected systems by state feedback

Decentralized adaptive stabilization of stochastic nonlinear...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Huijin Fan Wenxiang Xie The Key Laboratory of Image Processing and Intelligent Control Department Control Science and Engineering Huazhong University of Science and Technology China Seagate Technology International Singapore

ISBN: (纸本)9781424427994

This paper studies a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, a decentralized controller and parameter adaptive law are proposed by state-feedback, which can globally stabilize the overall system asymptotically in probability.

关键词： Stochastic systems Interconnected systems State feedback control systems Stochastic processes Differential equations Adaptive control Nonlinear systems Programmable control Nonlinear control systems

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Analysis of second order motion

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2009年第3期22卷 344-348页

作者： Sun, Bin Sang, Nong Li, Zheng Zheng, Qing-Qing State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

The study of the second order motion in biological vision is a new source of inspiration for algorithms and research directions in computer vision. In this paper, the second order motion can be divided into three typical group according to the modulation types: spatial modulate motion, temporal modulate motion and spatio-temporal modulate motion. Experiments are conducted on the first order motion perception based on correlation model and the second order motion perception by correlation model preceded with a nonlinear process called texture grabber. The computational results are consistent with the previous suggestion that the second order motions are processed by nonlinear system.

关键词： Modulation

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