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International Conference on Information and Automation (ICIA)

作者： Awais Yasin Qiang Huang Qian Xu Weimin Zhang Key Laboratory of Biomimetic Robots and Systems Key Laboratory of Intelligent Control & Decision of Complex Systems Intelligent Robotics Institute School of Mechatronics Engineering Beijing Institute of Technology Beijing P.R. China

This paper presents a balance control approach for a biped robot by regulating COM position with the help of proper foot placement in response to external perturbation. The proposed approach detects present postural and stability state of robot through sensory data from Attitude and Heading Reference system (AHRS) and foot force sensors; and in case of external push, recovers the balance and posture of the robot by foot placement in appropriate direction. The foot placement is carried out using one of the alternative or rescue trajectories already available in the memory of the robot. The rescue trajectories are developed for both sagittal and lateral plane and the strategy for switching from current trajectory to the rescue trajectory and then back to the normal trajectory is discussed in detail. The proposed balance recovery approach is then implemented on a biped robot and is experimentally verified.

关键词： Trajectory Legged locomotion Robot sensing systems Foot Robot kinematics Current measurement

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A Two-stage ARMAX Identification Approach Based on Bias-eliminated Least Squares and Parameter Relationship between MA Process and Its Inverse

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Acta Automatica Sinica 2012年第3期38卷 491-496页

作者： Bin XIN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Decision and Cognitive Sciences Research Centre Manchester Business School University of Manchester M15 6PB Manchester UK

In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with exogenous variable (ARX) by a bias-eliminated least squares method, and the moving average (MA) part by utilizing the parameter relationship between MA process and its inverse. Finally, the noise variance can be computed by using the identified MA parameters. Numerical simulations validate the effectiveness of the proposed approach.

关键词： Autoregressive moving average with exogenous (ARMAX) model parameter identification inverse model least-squares method bias compensation

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Low frequency positive real control for delta operator systems

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Automatica 2012年第8期48卷 1791-1795页

作者： Hongjiu Yang Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China

A strictly positive real control problem for delta operator systems in a low frequency range is presented by using the generalized Kalman–Yakubovic˘–Popov lemma. The objective of the strictly positive real control problem is to design a controller such that the transfer function is strictly positive real and the resulting closed-loop system is stable. Sufficient conditions for the low frequency strictly positive real controller of the closed-loop delta operator systems are presented in terms of solutions to a set of linear matrix inequalities. A numerical example is given to illustrate the effectiveness and potential for the developed techniques.

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Optimized model reference adaptive motion control of robot arms with finite time tracking

Optimized model reference adaptive motion control of robot a...

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Chinese control Conference (CCC)

作者： Chenguang Yang Hongbin Ma Mengyin Fu Alex M. Smith School of Computing and Mathematics University of Plymouth Plymouth UK Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology BIT Beijing China

ISBN: (纸本)9781467325813

In this paper, we study motion control of general n degrees of freedom (DOFs) rigid robot arms. Aiming at shaping the controlled closed-loop dynamics to be of minimized motion tracking errors and as well as angular accelerations, we employ the linear quadratic regulation (LQR) optimization technique to obtain an optimal reference model. Adaptive control is then developed to ensure that the reference model can be matched in finite time, in the presence of various uncertainties. The stability and optimal tracking performance have been rigorously established by theoretic analysis.

关键词： Adaptation models Tracking Impedance Manipulators Adaptive control Force

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A Quantitative Performance Evaluation Index for Image Fusion: Normalized Perception Mutual Information

A Quantitative Performance Evaluation Index for Image Fusion...

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Chinese control Conference

作者： Liping Yan Yulei Liu Bo Xiao Yuanqing Xia Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781467325813

Information entropy based criteria are analyzed and the Normalized Mutual Information(NMI) that is presented in the field of image registration is revised to Normalized Mutual Information Entropy (NMIE) to meet the need of the evaluation of image fusion algorithms, Then, through analysis to NMIE and some human perception based criteria, and by analyzing the essence of image fusion techniques systematically, a new index, Normalized Perception Mutual Information (NPMI), is defined in view of information transmission as well as edge preservation, and is used to evaluate the performance of image fusion algorithms, The experiments are done to three groups of images, namely, the remote sensing images corrupted by noises, the multifocus images and the medical images obtained by CT and MRI, respectively. Compared with other indices including the root mean square error (RMSE), space frequncy (SF), space visibility (SV), entropy, the collective cross entropy (CCE), information deviation (ID), and the edge information preservation value (EIPV), etc., NPMI is shown to be the only one that is effective in all the eases in the evaluation of the performances of the fused images or the image fusion algorithms, which illustrates the feasibility and effectiveness of the presented algorithm.

关键词： Image fusion Performance evaluation Mutual information Human perception Normalized perception mutual intonation

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Structural analysis and design of round belt drive snake-like robot

Structural analysis and design of round belt drive snake-lik...

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IET International Conference on Information Science and control Engineering 2012 (ICISCE 2012)

作者： Xuandon Su Junyao Gao Zhengyang Zhao Qianying Wu Chengzu Huang Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of education State Key Laboratory of “Intelligent control of complex systems and decision” School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian 100081 China

Twisting between adjacent modules drive is the main way to drive the snake-like robot. It is hard to build a mathematical model for the kind of snake-like robot and the control of it is very complex in the realistic environment. In purpose of developing a new kind of snake-like robot which is easy to model, a new way to drive snake-like robot which we call skin drive was invented. With this way, structure of snake-like robot can be very simple and easy to model. Besides control of snake-like robot can be simple. Eventually a snake-like robot was built and it is called round belt drive snake-like robot. Through some experiment and analysis, it is concluded that this new kind of snake-like robot is easy to model and easy to control and its structure is simple to build. In this paper, three important topics were analyzed and elaborated. They are round belt analysis and design, active pulley structure and guide pulley arrangement. Of course, some experiments were done to verify the round belt drive snake-like robot performance. Some experiment process and results were shown at the end in this paper.

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Three-dimensional multi-constraint route planning of unmanned aerial vehicle low-altitude penetration based on coevolutionary multi-agent genetic algorithm

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Journal of Central South University 2011年第5期18卷 1502-1508页

作者：彭志红吴金平陈杰 School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology

To address the issue of premature convergence and slow convergence rate in three-dimensional (3D) route planning of unmanned aerial vehicle (UAV) low-altitude penetration,a novel route planning method was *** and foremost,a coevolutionary multi-agent genetic algorithm (CE-MAGA) was formed by introducing coevolutionary mechanism to multi-agent genetic algorithm (MAGA),an efficient global optimization algorithm.A dynamic route representation form was also adopted to improve the flight route ***,an efficient constraint handling method was used to simplify the treatment of multi-constraint and reduce the time-cost of planning *** and corresponding analysis show that the planning results of CE-MAGA have better performance on terrain following,terrain avoidance,threat avoidance (TF/TA2) and lower route costs than other existing *** addition,feasible flight routes can be acquired within 2 s,and the convergence rate of the whole evolutionary process is very fast.

关键词： unmanned aerial vehicle （UAV） low-altitude penetration three-dimensional （3D） route planning coevolutionary multiagent genetic algorithm （CE-MAGA）

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New stability criteria for linear systems with time-varying interval delay

New stability criteria for linear systems with time-varying ...

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2012 UKACC International Conference on control, control 2012

作者： Sun, Jian Chen, Jie Liu, G.P. School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex Systems Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China Faculty of Advanced Technology University of Glamorgan Pontypridd CF37 1DL United Kingdom CTGT Center Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9781467315609

This paper is concerned with the problem of stability of systems with time-varying delay in a given interval. A novel Lyapunov-Krasovskii functional is proposed to obtain new stability conditions. Some triple integral terms are introduced in the Lyapunov-Krasovskii functional and the information on the lower bound on the delay are sufficiently used. New delay-dependent stability criteria are derived using integral inequalities and formulated in terms of linear matrix inequality (LMI). Comparing numerical examples show that the proposed criteria yield a larger upper bound on the delay for a given lower bound on the delay than existing results. © 2012 IEEE.

关键词： Stability criteria

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Fuzzy emotion modeling for human behavior simulation in stressful situation

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第7期6卷 312-320页

作者： Cai, Linqin Zhang, Zhenhua Pan, Yuyou Xiong X., Juan Key Laboratory of Network control and Intelligent Instrument Chongqing University of Posts and Telecommunications Ministry of Education Chongqing 400065 China Research Center on Complex System Analysis and Control Chongqing University of Posts and Telecommunications Chongqing 400065 China

Emotion modeling is a vital part of human behavior simulation in stressful situation. Based on OCC appraisal theories, a fuzzy emotion model was proposed to simulate mine worker's emotional behavior response to underground hazardous events. Using fuzzy inference process, the proposed emotion model evaluates perceived event's impact on goal attainment and goal importance to generate emotion states for virtual miners. Moreover, mine worker's personality straits were taken into account in the intensity threshold of emotions, emotion's decay, and motivation update process according to OCEAN personality scales. And then, virtual miner's behaviors were implemented based on current motivation needs and emotion states. Finally, a hazards spotting case was reconstructed to validate the proposed model. Simulated results show virtual miner's fuzzy emotion model can assist in constructing more believable virtual coalmine environment, which helps train miner's decision-making ability when faced with occasional or emergency situations in underground coalmine.

关键词： Motivation

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Stability Analysis for High Frequency Networked control systems

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IEEE Transactions on Automatic control 2012年第10期57卷 2694-2700页

作者： Hongjiu Yang Yuanqing Xia Peng Shi Mengyin Fu Institute of Electrical Engineering Yanshan University Qinhuangdao China School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China School of Engineering and Science Victoria University Melbourne VIC Australia Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd UK

This note generalizes the stability analysis for a high frequency networked control system. The high-frequency networked control system is described by a delta operator system with a high frequency constraint. Stability conditions are given for the high frequency delta operator system. Furthermore, by developing the generalized Kalman-Yakubovic-Popov lemma, improved stability conditions are also presented in terms of linear matrix inequalities. Some experiment results are presented to illustrate the effectiveness of the developed techniques.

关键词： Stability analysis Delay Linear matrix inequalities Frequency control Educational institutions Power system stability Numerical stability

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