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Flocking of multi-robot systems with connectivity maintenance on directed graphs

Journal of systems Engineering and Electronics 2014年第3期25卷 470-482页

作者： Mao, Yutian Dou, Lihua Fang, Hao Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control Decision of Complex Systems Beijing 100081 China

Analysis and design techniques for cooperative flocking of nonholonomic multi-robot systems with connectivity maintenance on directed graphs are presented. First, a set of bounded and smoothly distributed control protocols are devised via carefully designing a class of bounded artificial potential fields (APF) which could guarantee the connectivity maintenance, collision avoidance and distance stabilization simultaneously during the system evolution. The connectivity of the underlying network can be preserved, and the desired stable flocking behavior can be achieved provided that the initial communication topology is strongly connected rather than undirected or balanced, which relaxes the constraints for group topology and extends the previous work to more generalized directed graphs. Furthermore, the proposed control algorithm is extended to solve the flocking problem with a virtual leader. In this case, it is shown that all robots can asymptotically move with the desired velocity and orientation even if there is only one informed robot in the team. Finally, nontrivial simulations and experiments are conducted to verify the effectiveness of the proposed algorithm. © 1990-2011 Beijing Institute of Aerospace Information.

关键词： Multipurpose robots

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Distributed observer-based coordination for multiple Lagrangian systems using only position measurements

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IET control Theory and Applications 2014年第17期8卷 2102-2114页

作者： Yang, Qingkai Fang, Hao Chen, Jie Wang, Xueyuan School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China

This study addresses the distributed coordination problem for multiple Lagrangian systems under a directed graph. Two cases are considered, namely, the distributed tracking control problem with a dynamic leader and the leaderless synchronisation problem. To overcome the difficulty that only positions are measured, a kind of new distributed observer is designed to estimate the velocity for each follower. The velocity observer is updated using only position information from the agent itself and from its neighbours. Based on the outputs of the observer, the distributed control protocols are proposed, respectively, such that the tracking errors locally exponentially converge to zero in the tracking scenario and the agents synchronise in the leaderless synchronisation scenario. Furthermore, the stability of the overall scheme is discussed under the directed interaction graphs that contain a directed spanning tree. Finally, cooperative simulations are provided to show the effectiveness of the proposed observer and control algorithms. © 2014 The Institution of Engineering and Technology.

关键词： Directed graphs

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Decentralized Adaptive Filtering for Multi-agent systems with Uncertain Couplings

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 101-112页

作者： Hongbin Ma Yini Lv Chenguang Yang Mengyin Fu the School of Automation Beijing Institute of Technology the Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology the School of Computing and Mathematics Plymouth University

In this paper, the problem of decentralized adaptive filtering for multi-agent systems with uncertain couplings is formulated and investigated. This problem is challenging due to the mutual dependency of state estimation and coupling estimation. First, the problem is divided into four typical types based on the origin of coupling relations and linearity of the agent dynamics. Then models of the four types are given and the corresponding decentralized adaptive filtering algorithms are designed for the purpose of estimation of the unknown states and couplings which denotes the relations between agents and their neighbor agents in terms of states or outputs simultaneously,with preliminary stability analysis and discussions. For testing the effects of algorithm, with the so-called certainty-equivalence principle, control signals are designed based on the results of state estimation and coupling estimation got by the proposed decentralized adaptive filtering algorithms. Extensive simulations are conducted to verify the effectiveness of considered algorithms..

关键词： Multi-agent systems coupling uncertainties de-centralized adaptive filtering extended Kalman filter

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Adaptive object tracking based on vision sensor and milli-meter wave radar

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Journal of Computational Information systems 2014年第8期10卷 3283-3290页

作者： Jin, Lu Fu, Mengyin Yang, Yi Key Laboratory of Intelligent Control and Decision of Complex Systems Ministry of Education Beijing 100081 China School of Automation Beijing Institute of Technology Beijing 100081 China

The object tracking for driver assistant system by the multi-sensors fusion has drawn much attention recently. With the complexity of space alignment, a new space alignment algorithm is proposed to project the object by millimeter wave radar onto the image plane. The method needs not to estimate interior and exterior parameters between two sensors. Considering alignment result as the measurement, a new tracking algorithm based on the Mean Shift with Unscented Kalman Filter and Information Measure of Multi-Scale Image is proposed. The Unscented Kalman Filter firstly is used to predict the initial iteration position for Mean Shift algorithm. After the object position is located by Mean Shift algorithm, the size of tracking window is adjusted adaptively through the size change ratio of adjacent frame. The results show that the proposed algorithm can track accurately the object whose size is gradually increasing or decreasing, and the algorithm also reduces the iteration times, the location time and the tracking error. © 2014 Binary Information Press.

关键词： Alignment

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Modeling and Simulation of Thermoelectric Power Generation System Based on Finite Element Method 33

Modeling and Simulation of Thermoelectric Power Generation S...

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第三十三届中国控制会议

作者： LI YONG DENG FANG School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781479947249

The temperature distribution is the crucial part in the design of the thermoelectric power generation system. Based on the temperature distribution, the system efficiency and stability could be effectively improved by using structure design of the thermoelectric power generation system. In this paper, the differential equation model and the finite element governing equation of thermoelectric power generation system is established, the model is analyzed through the finite element method, and the commercial finite element analysis software Ansys is used to simulate the system temperature distribution, with the assistant of APDL(Ansys Parametric Design Language), a parametric model is built and then the temperature field distribution is *** simulation results are not only beneficial to provide guidance for the optimum of thermoelectric power generation system,but also meaningful to evaluate the feasibility of the design scheme of the system.

关键词： Thermoelectric Power Generator System,Finite Element Method,Temperature Distribution,Structure Optimum,System Evaluation

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Event-based State Estimation of a Discrete-State Hidden Markov Model through a Reliable Communication Channel

Event-based State Estimation of a Discrete-State Hidden Mark...

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第三十四届中国控制会议

作者： Dawei Shi Robert J.Elliott Tongwen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology School of Mathematical Sciences University of Adelaide SA 5005 Australia the Haskayne School of Business University of Calgary

ISBN: (纸本)9781467374439

In this work, a state estimation problem is considered for a hidden Markov model subject to event-based sensor measurement updates sent through a reliable communication channel. The change of probability approach is utilized to consider the estimation problem, and an analytical expression for the probability distributions of the states conditioned on all the past hybrid point- and set-valued measurement information caused by the event-triggering scheme is obtained. Also, it is shown that the scenario with a lossy channel, but without the event-trigger, can be treated as a special case of the reliable channel results,and thus can be solved by applying the proposed results.

关键词： Event-based estimation,Hidden Markov models,Optimal estimation

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An adaptive unimodal and hysteresis thresholding method

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 472卷 552-556页

作者： Yu, Yin Li, Zhen Liu, Bing Liu, Xiangdong School of Automation Beijing Institute of Technology Beijing China Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9783662450482

This paper addresses the unimodal and hysteresis thresholding, where a pair of low and high thresholds is under investigation targeted with the unimodal image histogram. The novel bowstring is introduced to make an accurate priori -measurement of the overall tendency of the histogram. The dual-threshold is further computed by adaptively searching two tangent points corresponding to the properly defined transitional characteristics over the whole histogram. The effectiveness of this proposed algorithm is evaluated using the Baddeley’s discrepancy. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Graphic methods

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Guidance law of multiple missiles engaged in cooperative salvo attack 10

Guidance law of multiple missiles engaged in cooperative sal...

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Joint International Conference of the 10th China-Japan International Workshop on Information Technology and control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014

作者： Zeng, Jie Dou, Lihua Xin, Bin School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

In this article, a guidance problem for cooperative salvo attack of multiple missiles against a single stationary target is investigated. The proposed guidance law combines the well-known PNG law and cooperative acceleration command, which is based on the feedback of state error between the current missile and the mean value of participant missiles. The state variable in this paper is used as the approximate calculation of time-to-go. The cooperative acceleration command is designed to adjust the flight path and impact time, which leads the multi-missiles to hit the common target simultaneously. During the engagement, the velocities of missiles are not changed and presetting impact time is not needed. Simulation results show the effectiveness of the proposed guidance law.

关键词： Electronic guidance systems

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Multirate Multisensor Data Fusion Algorithm for State Estimation with Cross-Correlated Noises

Multirate Multisensor Data Fusion Algorithm for State Estima...

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7th International Conference on intelligent systems and Knowledge Engineering, ISKE 2012

作者： Liu, Yulei Yan, Liping Xiao, Bo Xia, Yuanqing Fu, Mengyin Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology 100081 Beijing China

This paper is concerned with the optimal state estimation problem under linear dynamic systems when the sampling rates of different sensors are different. The noises of different sensors are cross-correlated and coupled with the system noise of the previous step. By use of the projection theory and induction hypothesis repeatedly, a sequential fusion estimation algorithm is derived. The algorithm is proven to be optimal in the sense of Linear Minimum Mean Square Error(LMMSE). Finally, a numerical example is presented to illustrate the effectiveness of the proposed algorithm. © Springer-Verlag Berlin Heidelberg 2014.

关键词： State estimation

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Motion control and fall detection of intelligent cane robot

Springer Tracts in Advanced Robotics

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Springer Tracts in advanced Robotics 2015年 106卷 317-337页

作者： Fukuda, Toshio Huang, Jian Di, Pei Sekiyama, Kosuge Key Laboratory of Image Processing and Intelligent Control School of Automation Huazhong University of Science and Technology No. 1037 Luoyu Road Wuhan Hubei430074 China Department of Micro-Nano Systems Engineering Nagoya University Furo-cho Chikusa-ku Nagoya464-8603 Japan

An intelligent cane robot was designed for aiding the elderly and handicapped people walking. The robot consists of a stick, a group of sensors and an omni-directional basis driven by three Swedish wheels. Multiple sensors were used to recognize the user’s "walking intention", which is quantitatively described by a new concept called intentional direction (ITD). Based on the guidance of filtered ITD, a novel intentionbased admittance motion control (IBAC) scheme was proposed for the cane robot. The experiment results demonstrated that the user feels more natural and comfortable when walking with the assistance of cane robot controlled by the IBAC strategy. To detect the fall of user, a detection method based on Dubois possibility theory was proposed using the combined sensor information from force sensors and a laser ranger finder (LRF) fixed on the cane robot. The human fall model was represented in a two-dimensional space, where the relative position between the Zero- Moment-Point (ZMP) and the center of support triangle was utilized as a significant feature. The effectiveness of proposed fall detection method was also confirmed by experiments. © Springer International Publishing Switzerland 2015.

关键词： Motion control

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