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Design considerations on intell.gent tires utilizing wireless passive surface acoustic wave sensors

Design considerations on intelligent tires utilizing wireles...

引用

WCICA 2004 - Fifth World Congress on intell.gent control and Automation, Conference Proceedings

作者： Zhang, Xiangwen Wang, Zhixue Gai, Leifu Ai, Yunfeng Wang, Feiyue Key Lab. Complex Syst./Intell. Sci. Institute of Automation Chinese Academy of Sciences Beijing 100080 China

The design level of the intell.gent tire utilizing wireless passive surface acoustic wave(SAW) sensors decided its practicability. We have developed a wireless passive SAW sensor with two sides of SAW delay lines. It can measure the tire pressure and temperature at the same time. The basic structure of intell.gent tires utilizing this SAW sensor is presented. In the design, deformation sensitivity coefficient, temperature sensitivity coefficient and electromechanical coupling factor of SAW sensor substrate were defined as the factors of choice of the substrate. The sensors were coded by reflectors. In the signal processing, the method of averaging the received pulses in a few periods was used to increase signal-noise-ratio(SNR). In the decision-making of the tire state, we consider the trend of the tire pressure variation and the relation of tire pressure and tire temperature to increase the tire's intell.gent level. All the considerations improved the practicability of this intell.gent tire.

关键词： Acoustic surface wave devices

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Stochastic stability analysis and control of networked control syst.ms with randomly varying long time-delays

Stochastic stability analysis and control of networked contr...

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WCICA 2004 - Fifth World Congress on intell.gent control and Automation, Conference Proceedings

作者： Yang, Yuequan Xu, De Tan, Min Dai, Xianzhong Key Lab. Complex Syst./Intell. Sci. Institute of Automation Chinese Academy of Sciences Beijing 100080 China Department of Automatic Control Southeast University Nanjing 210096 China

This paper mainly studies stability and optimal control for networked control syst.ms with the real-time setup of time-driven sensor, event-driven controller and actuator, and with the assumption that network-induced delay is no longer than certain known times of sampling period. The modeling of this class of networked control syst.ms is given. Then preliminary stochastic stability analysis of it is presented. Finally, based on stochastic optimal control theory an LQG control scheme is provided. Much work needs to be continued for future research.

关键词： control syst.m analysis

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Adaptive Switch Gain Time-Varying Sliding Mode controller Design for the Low Speed Servo syst.m in a control Moment Gyroscope

Adaptive Switch Gain Time-Varying Sliding Mode Controller De...

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IEEE International Conference on Mechatronics and Automation

作者： Zhichao Du Zhen Chen Xiangdong Liu Jing Zhao Key Lab. of Complex Syst. Intell. Control & Decision Beijing Inst. of Technol. Beijing China

ISBN: (纸本)9781479970995

An adaptive switch gain time-varying sliding mode controller is designed for the low speed servo syst.m in a control moment gyroscope (CMG). By introducing the integral of speed error in the sliding mode surface, the error is suppressed during the whole operation. A time-varying sliding mode controller based on error reference is proposed to solve the problem that normal time-varying sliding mode control is only related to time and can only eliminate the reaching phase at initial time. The proposed controller makes the sliding mode surface keep refreshing all the time. The global robustness is maintained. Then, an adaptive switch gain sliding mode controller is proposed to deal with the syst.m vibration. This controller has large gain for large error and small gain for small error. Simulation and experiment were carried out for the proposed CMG low speed servo syst.m controller. The results showed that the proposed controller have better performance in terms of smooth speed and robustness comparing with conventional PID controller.

关键词： Time-varying sliding mode control moment gyroscope Torque observer

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Target Tracking Based on Federated Filter for Mobile Sensor Networks

Target Tracking Based on Federated Filter for Mobile Sensor ...

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International Conference on Computer Science and Network Technology

作者： Shanshan Jiang Lihua Dou Hao Fang Key Lab. of Intell. Control & Decision of Complex Syst. Beijing Inst. of Technol. Beijing China

ISBN: (纸本)9781479905607

In this paper, we introduce a collab.rative target tracking method which couples distributed estimation and motion control of mobile sensor networks. To estimate the target state, we develop a distributed federated filter (DFF) approach where only local communication between sensors is required. This DFF algorithm has superiority in tolerance of the target syst.m noise and can acquire accurate estimation even if the model of the target is not accurate. We value information-distribution and information-fusion weights in the DFF according to the measurement situations of sensors. Then a flocking-based motion control method is proposed to track maneuvering targets. During the process of tracking, velocity matching and collision avoidance among mobile sensors are guaranteed. Finally, this coupled estimation and control algorithm is successfully simulated to track a linear-dynamics target with non-zero acceleration. Simulation results verify the performance and superiority of our method.

关键词： Markov processes filtering theory mobile communication target tracking DFF algorithm collab.rative target tracking method distributed estimation distributed federated filter approach first-order Markov stable process flocking-based motion control method information-distribution weights information-fusion weights mobile sensor networks Estimation error Filtering algorithms Filtering theory Information filters Target tracking cooperative tracking control federated filter flocking control Target tracking filtering theory Sensor networks Web filters Filtering algorithms Estimation error mobile communication Markov chain DFF Targets

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Path Planning and decision Making for Autonomous Vehicle in Urban Environment

Path Planning and Decision Making for Autonomous Vehicle in ...

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International Conference on intell.gent Transportation

作者： Mengyin Fu Wenjie Song Yang Yi Meiling Wang State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing P. R. China State Key Lab. of Intell. Control & Decision of Complex Syst. Beijing Instn. of Technol. China

ISBN: (纸本)9781467365970

In this paper, we focus on the need for autonomous vehicles' path planning and decision making in the urban environment. In our modified method, traffic lanes, road edge and geographic information syst.m(GIS) are integrated to generate three structured road models, which can be used to reduce car's lateral positioning error and guarantee car's driving stably without a precise pre-computed map for localization. Based on these models, car's position, attitude and speed are taken into account to find an optimal guided path and a suitable behavior strategy to keep our car obeying traffic rules. Thus, in the whole architecture, the instability of some modules' detection results and low positioning accuracy of GPS receiver is resolved. Applied to our autonomous vehicle - IN 2 BOT, which has taken part in "Chinese intell.gent Vehicle Challenge" for many times, this method is proved more effective than our previous method after experiments under various conditions.

关键词： Path planning Roads Vehicles decision making Planning Mobile robots Image edge detection

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Optimized Relaying Method for Wireless Multi-antennas Cooperative Networks

Optimized Relaying Method for Wireless Multi-antennas Cooper...

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IEEE Global Communications Conference

作者： Shuangshuang Han Kai Zhao Xiang Cheng Liu-Qing Yang State Key Lab. of Manage. & Control for Complex Syst. China Qingdao Acad. of Intell. Ind. Qingdao China

ISBN: (纸本)9781509013296

An optimized relaying method for multi-antennas cooperative networks, estimate-and-forward (EF) strategy for MIMO relay, is proposed and analyzed in this paper. According to our theoretical analysis, it performs like amplify-and-forward (AF) for the low signal noise ratio (SNR) region and behaves like detect-and-forward (DF) for the high SNR region. For the relay networks with a large number of antennas and/or high order constellations, two approximate methods are proposed to reduce the complexity of the signal estimation at the relay. The first one uses a list sphere decoder to generate an estimate list and to obtain the approximate minimum mean squared error (MMSE) estimate based on the reduced list. The proposed list EF retains the advantages of the exact EF relay strategy in large MIMO relay networks at a negligible performance loss. The second algorithm computes the estimate of the symbols using Gaussian approximation to approximate the summation to be integral. We find the proposed EF scheme performs better than both AF and DF across all SNRs without switching algorithms for different SNRs.

关键词： MIMO Signal to noise ratio Relay networks (telecommunications) Estimation Wireless communication Antennas

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Research on PV Maximum Power Point Tracking Based on Improved Perturbation and Observation Method

Research on PV Maximum Power Point Tracking Based on Improve...

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Chinese Automation Congress

作者： JiLong Wang ShengMin Li Key Lab. of Shaanxi Province for Complex Syst. Control & Intell. Inf. Process. Xi'an Univ. of Technol. Xi'an China

ISBN: (纸本)9781467371902

Fixed step perturbation and observation (P&O) method is easy to implement, simple algorithm, and widely used, but it cannot simultaneously obtain high tracking accuracy and speed, cannot overcome the problem of false positives of P&O method. PV MPPT was selected as the research object, based on the various existing engineering applications control algorithm analysis, according to the PV output characteristics, the advantages of an integrated variable step P&O and forecasting power P&O method, we propose prediction based on the power of variable step P&O method. We build a photovoltaic simulation model and the proposed method of simulation experiments in the Matlab.Simulink environment. The new algorithms and the traditional P&O method have conducted an experimental comparison. The experimental results show that the method is effective.

关键词： PV MPPT Power prediction Variable step Perturbation and observation method

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Measurement syst.m of Ferromagnetic Film Magnetic Properties Based on Mazneto-optical Kerr Effect

Measurement System of Ferromagnetic Film Magnetic Properties...

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Chinese control Conference (CCC)

作者： Xueying Fu Wenqin Mo Shun Yuan Liming Xu Junlei Song Kaifeng Dong Fang Jin Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Hubei key Lab. of Adv. Control & Intell. Autom. for Complex Syst. Wuhan China

A new measuring syst.m for magnetic properties of the ferromagnetic thin film has developed based on magneto-optical Kerr effect (MOKE). This syst.m can realize both polar MOKE and longitudinal MOKE measurements through the optimization of optical path and electromagnet's poles. The signal processing software on lab.View has been also designed to acquire the Kerr signal and plot the hysteresis loop. The MOKE measurements have been performed to investigate the magnetic properties of ferromagnetic films such as CoFeSiB, permalloy and NiFe/Ag/NiFe multilayer. The experimental results proved that the syst.m has a high angular accuracy of 0.0008°.

关键词： Magnetic field measurement Magnetic fields Kerr effect Magnetic hysteresis Optical variables measurement Optical films Biomedical measurement

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Solving most syst.ms of random quadratic equations 17

Solving most systems of random quadratic equations

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Proceedings of the 31st International Conference on Neural Information Processing syst.ms

作者： Gang Wang Georgios B. Giannakis Yousef Saad Jie Chen Key Lab of Intell. Contr. and Decision of Complex Syst. Beijing Inst. of Technology and Digital Tech. Center & Dept. of Electrical and Computer Eng. Univ. of Minnesota Digital Tech. Center & Dept. of Electrical and Computer Eng. Univ. of Minnesota Department of Computer Science and Engineering Univ. of Minnesota Key Lab of Intell. Contr. and Decision of Complex Syst. Beijing Inst. of Technology

ISBN: (纸本)9781510860964

This paper deals with finding an n-dimensional solution x to a syst.m of quadratic equations yi = ||2, 1 ≤ i ≤ m, which in general is known to be NP-hard. We put forth a novel procedure, that starts with a weighted maximal correlation initialization obtainable with a few power iterations, followed by successive refinements based on iteratively reweighted gradient-type iterations. The novel techniques distinguish themselves from prior works by the inclusion of a fresh (re)weighting regularization. For certain random measurement models, the proposed procedure returns the true solution x with high probability in time proportional to reading the data {(ai; yi)]1≤i≤m, provided that the number m of equations is some constant c > 0 times the number n of unknowns, that is, m ≤ cn. Empirically, the upshots of this contribution are: i) perfect signal recovery in the high-dimensional regime given only an information-theoretic limit number of equations; and, ii) (near-)optimal statistical accuracy in the presence of additive noise. Extensive numerical tests using both synthetic data and real images corroborate its improved signal recovery performance and computational efficiency relative to state-of-the-art approaches.

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