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Routing Protocol for Wireless Sensor Networks in Home Automation

IFAC Proceedings Volumes 2009年第3期42卷 27-33页

作者： Xiao Hui Li Hong Qin Xu Seung Ho Hong Zhi Wang Xiang Fan Piao Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei 430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji 133002 China

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Wireless Sensor/Actuator Networks Home Automation Routing Protocol

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Nonsingular terminal sliding mode guidance law

引用

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) 2009年第SUPPL. 1期39卷 87-90页

作者： Wang, Zhao Li, Shihua Fei, Shumin School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing 210096 China Dongying 257061 China

In order to intercept maneuvering targets, a guidance law based on nonsingular terminal sliding mode (NTSM) technique is presented. The proposed NTSM contains the line-of-sight (LOS) angular rate and a desired LOS angular. Through introducing the nonlinear sliding mode surface to improve the convergent characteristics of the system, the states of the closed-loop system can be converged to the origin in finite time and the system performance is improved greatly. The LOS angular rate is nullified in finite time to guarantee the zero miss-distance between the missile and the target;the LOS angular reaches the desired value in finite time to guarantee the missile attitude of hitting the target. With the maneuverability of acceleration of the target regarded as an unknown bounded disturbance, the proposed guidance law is robust to target maneuvering by using the invariance of the variable structure control. The guidance law has a simple structure and is easy to be implemented. Two cases of target maneuvering are simulated to validate the effectiveness of the method. The simulation results show that the algorithm has strong robustness and high guidance accuracy.

关键词： Variable structure control

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Robust controller Design for Networked control systems with Nonlinear Uncertainties

Robust Controller Design for Networked Control Systems with ...

引用

2009 American control Conference (ACC 2009)

作者： Junyan Yu Long Wang Mei Yu Jie Chen Yingmin Jia Intelligent Control Laboratory Center for Systems and Control College of Engineering and Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing 100871 P.R.China Department of Automation North China Electric Power University Zhuxinzhuang Dewai Beijing 102206 P.R.China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 P.R.China Seventh Research Division Beihang University Beijing 100083 P.R. China

ISBN: (纸本)9781424445233

We address robust stabilization problem for networked control systems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Lyapunov functions, we derive the robustly stabilizing conditions for state feedback stabilization and design packet-loss dependent controllers by solving some matrix inequalities. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design method.

关键词： Networked control systems robust controller design Packet loss control systems design approach Switched systems controller design State feedback Uncertainty nonlinearity

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Robust adaptive control for uncertain systems with discrete and distributed delays

引用

控制理论与应用（英文版） 2008年第3期6卷 287-292页

作者： Qing ZHU Shumin FEI Tao LI Tianping ZHANG Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing Jiangsu 210096 China College of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China

In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown continuous function with norm-bounded restriction. The perturbation is sector-bounded. Combining with the liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the exponential stability of the closed-loop system for any admissible uncertainty.

关键词： Time-delay systems Robust control Adaptive control Neural networks Global exponential stability Linear matrix inequalities

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Adaptive control for a class of discrete-time time-delay systems with regard to delay parameter

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Journal of systems engineering and Electronics 2009年第1期000卷

作者： Chai Lin Cheng Ming Fei Shumin Zhai Junyong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China School of electrics Southeast Univ. Nanjing 210096 P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast Univ. Nanjing 210096 P. R. China

The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our designed adaptive control law, the unknown time-delay parameter is included in memory state feedback controller. Using LMI technique, delay-dependent sufficient conditions for the existence of the feedback controller are obtained. Finally, the effectiveness of the proposed design method is demonstrated by a numerical example.

关键词： discrete-time time-delay systems adaptive control linear matrix inequality.

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Adaptive RBF neural-networks control for a class of time-delay nonlinear systems

Adaptive RBF neural-networks control for a class of time-del...

引用

作者： Zhu, Qing Fei, Shumin Zhang, Tianping Li, Tao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Jiangsu Nanjing 210096 China College of Information Engineering Yangzhou University Jiangsu Yangzhou 225009 China

A control scheme combined with backstepping, radius basis function (RBF) neural networks and adaptive control is proposed for the stabilization of nonlinear system with input and state delay. By using state transformation, the original system is converted to the system without input delay. The RBF neural network is employed to estimate the unknown continuous function. The controller is designed for the converted system so that the closed-loop system is bounded. According to the relation between the original system and the converted one, the state of the original system is proved to be bounded. The control scheme ensures that the closed-loop system is semi-globally uniformly ultimately bounded. © 2008 Elsevier B.V. All rights reserved.

关键词： Backstepping

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Induction motor flux estimation based on Artificial Neural Network left-inversion

Induction motor flux estimation based on Artificial Neural N...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Hao Zhang Xianzhong Dai Key Laboratory of Measurement and Control of Complex system of Engineering Ministry of Education South-East University Nanjing China

This paper presents a new rotor flux estimation algorithm using neural network for induction motor, based on the left-inversion method. Using the standard fifth-order model of the three-phase induction motor in a stationary two axes reference frame, the flux ldquoassumed inherent sensorrdquo is constructed and its left-invertible is validated. The artificial neural network (ANN) left-inversion flux estimator is composed of two relatively independent parts - a static ANN used to approximate the complex nonlinear function and several differentiators used to represent its dynamic behaviors, so that the ANN left-inversion is a special kind of dynamic ANN in essence. The performance of the proposed algorithm is tested through simulation and experiment, proving good behavior in both transient and steady-state operating conditions.

关键词： Induction motors Artificial neural networks Rotors Stators Equations Voltage Inductance Sensor systems Electrical resistance measurement Laboratories

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Behaviour reasoning and tracking for mobile objects based on projection and occlusion ratios

Behaviour reasoning and tracking for mobile objects based on...

引用

2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Lu, Hong Fei, Shumin Zhang, Tao Li, Tao Zheng, Jianyong School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing 210096 China School of Automation Nanjing Institute of Technology Nanjing 211167 China School of Electrical Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)9781424423163

Object states estimation and data association are main facets of multi-object tracking. Under complex situations, one object often grouped with others, or occluded by other objects or background, which can increase the difficulty in data association and behaviour reasoning, and even result in being hard to maintain track. To cope with these problems, a new behaviour reasoning and tracking method is proposed. A scene mode is built firstly simulating public transport environment. Then, Kalman filter is used to estimate the object position and bounding box. Then, the center-association based projection ratio and region-association based occlusion ratio are defined and combined to reason and classify object behaviours. Finally, an adaptive tracking scheme aiming at special behaviours (e.g. merging, and static occlusion) is proposed to validate our reasoning method. Experimental results show that the proposed method is efficient. ©2008 IEEE.

关键词： Kalman filters

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Corrigendum to “Exponential state estimation for recurrent neural networks with distributed delays” [Neurocomputing 71(1–3) (2007) 428–438]

引用

Neurocomputing 2008年第7-9期71卷 1753-1758页

作者： Tao Li Shu-min Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing 210096 PR China

In the letter [Neurocomputing 71(1–3) (2007) 428–438], there exists one minor error in computing the derivative of V 2 ( ɛ ( t ) ) and thus, the proof of Theorem 1 needs some improvement.

关键词： Corrigendum Neurocomputing 71(1–3) (2007) 428–438

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Color correlogram based particle filter for object tracking

Color correlogram based particle filter for object tracking

引用

2008 Chinese Conference on Pattern Recognition, CCPR 2008

作者： Zhang, Tao Fei, Shu-Min Lu, Hong Li, Xiao-Dong Key Laboratory of Measurement and Control of Complex Systems of Engineering Institute of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9781424423163

A novel color correlogram based particle filter was proposed for an object tracking in visual surveillance. By using the color correlogram as object feature, spatial information is incorporated into object representation, which yields a reliable likelihood description of the observation and prediction for tracking the objects accurately. The capability of the tracker to tolerate appearance changes like orientation changes, small scale changes, partial occlusions and background scene changes is demonstrated using real image sequences. Experimental evidence shows that the color correlogram is more effective than the traditional color histogram for objects tracking. ©2008 IEEE.

关键词： Color

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