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检索条件"机构=Key Laboratory of Image Processing and Intelligent"

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An Online Ascent Phase Trajectory Reconstruction Algorithm Using Gauss Pseudospectral Method

An Online Ascent Phase Trajectory Reconstruction Algorithm U...

引用

2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Da Zhang Xuefang Lu YongJi Wang Lei Liu Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of C Key Laboratory of Ministry of Education for Image Processing and Intelligent ControlDepartment of Co

ISBN: (纸本)9781467315241

In this paper, we present an online ascent phase trajectory reconstruction algorithm using Gauss Pseudospectral *** Pseudospectral Method (GPM) was used to transform the ascent phase trajectory optimization problem into Nonlinear Program Problem (NLP), we solve the problem using a optimization software named GPOPS in *** this method we can calculate the optimal trajectory control volume and feedback to update the guidance commands *** analysis of the optimized results has been done to prove its *** last, we compare the trajectory recon- struction algorithm to a law without reconstruction algorithm via simulation with aerodynamic and thrust *** simulation results indicate that the method proposed above offers improved performance and has ability for real-time calculating.

关键词： Ascent Phase Trajectory Online Trajectory Reconstruction Gauss Pseudospectral Method Nonlinear Pro- gramming

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Optimal Ascent Guidance based on Direct Optimization Method

Optimal Ascent Guidance based on Direct Optimization Method

引用

2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xuefang Lu Yongji Wang Candidate of Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Hu Key Laboratory of Ministry of Educationfor Image Processing and Intelligent Control Huazhong Univers

ISBN: (纸本)9781467315241

In this paper, an optimal guidance algorithm is proposed for atmospheric *** optimal guidance algorithm updates the reference trajectory to deal with the impact of disturbance by solving an optimal control problem *** the strong nonlinear ascent dynamic, the optimal control problem is transformed into nonlinear programming problem by trajectory *** direct optimization method is implemented for this nonlinear programming *** a segment of the reference trajectory is updated by the optimal guidance *** 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 *** simulation for the Generic Hypersonic Vehicle model and scramjet engine is done for different cases of the aerodynamic coefficient *** results show the accuracy and the effectiveness of this optimal guidance algorithm.

关键词： Optimal Guidance, Ascent, Direct Optimization

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The application of support vector machines and improved particle swarm optimization

The application of support vector machines and improved part...

引用

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

作者： Zhang, Hu Wang, Min Huang, Xinhan Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Science and Engineering Huazhong University of Science and Technology NO.1037 Luoyu Road 430074 Wuhan China

ISBN: (纸本)9780956715715

Parameters selection of support vector machine is the key issue that impacts its accurate performance. A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is proposed in this paper. Furthermore, in order to improve the performance of the SPSO algorithm, the concept of the particles' average distance and fitness variance is proposed to make the efficiency of algorithm better. So, the improve algorithm was also applied in this paper. The two different models using SPSO and IPSO respectively were used to forecast the density of the acid-lead battery electrolyte. The experimental results indicate that both SPSO and IPSO have high prediction accuracy and efficiency. The time of the parametric searching by IPSO is obviously decreased to that of SPSO. The mean squared error (MSE) of the prediction model using SPSO is about 2.02056×10-4, Meanwhile, the MSE of the model using IPSO is only about 1.9324×10-4. So, the IPSO algorithm has more superior performance on convergence speed and global optimization. © 2012 Huazhong Univ of Sci & Tec.

关键词： Support vector machines

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Computer simulation for medical ultrasound c-mode imaging based on 2d array

引用

2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012

作者： Hua, Shaoyan Yuchi, Ming Ding, Mingyue Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Biomedical Engineering Department School of life Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9783037854389

C-mode imaging is one of the ultrasound imaging modalities. Compared with other modalities, e.g. A-mode, B-mode, M-mode, and Doppler, C-mode is mainly developed and used in industry testing. The potential of C-mode imaging for medical application has not been fully explored. In this paper, we design one 2-d plane array transducer through using the point spread function (PSF), and apply the 2d array transducer for C-mode imaging. The simulation results show that the generated C-mode images can display the anatomic structure and the pathological changes on the biological tissue. © (2012) Trans Tech Publications, Switzerland.

关键词： Optical transfer function

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Adaptive Kalman Filter Based Maneuvering Target Tracking

Adaptive Kalman Filter Based Maneuvering Target Tracking

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Chang Liu Xinhan Huang Min Wang Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Departm Key Laboratory of Image Processing and IntelligentControl of Ministry of Education of China Departme

Visual servoing has been around for decades, but the time delay is still one of the most troublesome problems to achieve maneuvering target *** circumvent the problem, in this paper, the Kalman filter is employed to estimate future position of the maneuvering *** order to introduce the Kalman filter, the accurate time delays, which include the processing lag and the motion lag, need to be ***, the delays of the visual control servoing systems are discussed, and a generic timing model for the system are ***, we present a current statistical model for maneuvering *** adaptive Kalman filter, which is evolved from the Kalman filter, is put forward based on the current statistical *** results show that the modified adaptive filter can improve the ability of maneuvering target tracking.

关键词： Kalman filter Timing Model Target Tracking Micro Maniputlation

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The application of support vector machines and improved particle swarm optimization

The application of support vector machines and improved part...

引用

2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Hu Zhang Min Wang Xinhan Huang Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

ISBN: (纸本)9781467315241

Parameters selection of support vector machine is the key issue that impacts its accurate performance.A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is proposed in this ***, in order to improve the performance of the SPSO algorithm, the concept of the particles’ average distance and fitness variance is proposed to make the efficiency of algorithm ***, the improve algorithm was also applied in this *** two different models using SPSO and IPSO respectively were used to forecast the density of the acid-lead battery *** experimental results indicate that both SPSO and IPSO have high prediction accuracy and *** time of the parametric searching by IPSO is obviously decreased to that of *** mean squared error (MSE) of the prediction model using SPSO is about 2.02056×10-4, Meanwhile, the MSE of the model using IPSO is only about 1.9324×***, the IPSO algorithm has more superior performance on convergence speed and global optimization.

关键词： support vector regression particle swarm optimization average particle distance fitness variance

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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 ...

引用

2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Ying Zhang Min Wang Shaoqing Niu Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

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 *** to make sure of the accuracy of infrared dim-small target detecting is the key point during the processing *** this paper, a novel region of interest detecting algorithm is proposed for aerial small dim infrared target with clutter *** from traditional region of interest extraction method, we extract region of interest based on the grayscale merging algorithm and connected components analysising ***, 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 *** validity of the proposed approach is demonstrated by experiment of infrared target region extraction.

关键词： Infrared small-dim target object detection connected component minimum error probability

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Model reference decoupling controller design via LMI optimization

Model reference decoupling controller design via LMI optimiz...

引用

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

作者： Wang, Zhishen Zheng, Zongzhun Liu, Lei Wang, Yongji 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 Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9780956715715

This paper proposed a H∞ based controller design method for MIMO system. We use the bound real lemma to design the controller when the reference model is given. The BMI (Bi-linear Matrix Inequality) problem is turned into a LMI (Linear Matrix Inequality) problem by congruence transformation and variables substitution. Given a decoupled reference model, the decoupling controller can be obtained by computer. We apply the method to a linearized vehicle model and the simulation results show the effectiveness of the approach. © 2012 Huazhong Univ of Sci & Tec.

关键词： MIMO systems

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Model Reference Decoupling Controller Design via LMI Optimization

Model Reference Decoupling Controller Design via LMI Optimiz...

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Lei Liu Zhishen Wang Zongzhun Zheng Yongji Wang Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of C Beijing Aerospace Automatic Control Institute BeijingChina Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of C

This paper proposed a H∞ based controller design method for MIMO *** use the bound real lemma to design the controller when the reference model is *** BMI (Bi-linear Matrix Inequality) problem is turned into a LMI (Linear Matrix Inequality) problem by congruence transformation and variables *** a decoupled reference model, the decoupling controller can be obtained by *** apply the method to a linearized vehicle model and the simulation results show the effectiveness of the approach.

关键词： decoupling linear matrix inequality H-infinity (H∞) model reference control

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Flow rate control and resource allocation policy with security demands in OFDMA networks

Flow rate control and resource allocation policy with securi...

引用

10th World Congress on intelligent Control and Automation, WCICA 2012

作者： Bo, Yang Zhu, Xingzheng Yue, Jianting Guan, Xinping School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Ministry of Education of China 800 Dongchuan Road Shanghai 200240 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control China

ISBN: (纸本)9781467313988

OFDMA-based network performs well in maximizing the overall throughput, and meanwhile, problems with security requirements are focused to satisfy the increasing needs of confidential data transmissions. According to information theory, however, secure transmission undesirably antagonizes larger flow rate, thus a tradeoff is expected to balance these two matters. In this paper, we consider a downlink situation in OFDMA network, where all users request secure transmission from the base station yet the resources including power and subcarriers are limited such that an appropriate policy on resource allocation can play an instrumental role. Dynamic queueing and Lyapunov optimization are two highlights in this process. We utilize dynamic queueing so that merely instantaneous state of the network is enough, which is advantageous for easier implementations. On the other hand, by the means of Lyapunov optimization, we also prove our algorithm can obtain a performance of flow rate admission extremely close to the optimal. Applying this policy can reduce computational complexity significantly but still perform close to optimality. © 2012 IEEE.

关键词： Resource allocation

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