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11th IEEE International Conference on Intelligence and Security Informatics (IEEE ISI)

作者： Su, Peng Zhu, Dan Zeng, Daniel Dali Univ Sch Math & Comp Sci Dali 671003 Peoples R China Iowa State Univ Coll Business Ames IA 50011 USA Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781467362139;9781467362146

Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence the behavior in the users' best interest. However, in mining such rules, it often occurs that different rules may suggest the same actions with different expected utilities, which we call conflicting rules. To resolve the conflicts, a previous pruning method was proposed. However, inconsistency of the measure for rule pruning may hinder its performance. To overcome this problem, we develop a new pruning method to achieve rule pruning in actionable rule discovery. We conduct several experiments to test our proposed approach and evaluate the sensitivity of the weight parameter. Empirical results based on a benchmark terrorism dataset indicate that our approach outperforms those from previous research.

关键词： actionable behavioral rules rule pruning conflicting rules

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The embedded image capture and processing system based on PC104 and FPGA

The embedded image capture and processing system based on PC...

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Chinese control Conference (CCC)

作者： Yu Wang Shuo Wang Chao Zhou State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

In this paper, an image capture and processing system based on PC104 and FPGA is designed. The communication between PC104 and FPGA is achieved by PC104-PLUS bus. The FPGA co-processor accomplishes the image capture of CMOS camera and image pretreatment. The PC104 controller, as an upper computer monitor,realizes feature point detection based on LSD line detector and Camshift target tracking algorithm based on the color. Based on the design of the image capture and processing system, the concrete implementation scheme of the image capture and processing system is proposed. And the practicability of our image capture and processing system is demonstrated by feature point detection of a color mark and target tracking algorithm.

关键词： Field programmable gate arrays CMOS integrated circuits Feature extraction Target tracking SDRAM Electronic mail Process control

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Data-based vehicle adaptive cruise control: A review

Data-based vehicle adaptive cruise control: A review

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Chinese control Conference (CCC)

作者： Dongbin Zhao Bin Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Based on the conventional cruise control, vehicle adaptive cruise control (ACC) measures the distance and the relative velocity to the preceding vehicle real time via distance sensor, computes appropriate control output with respect to throttle or brake pedal, and control the velocity or headway automatically. Under the basically security guarantee, ACC could improve the comfort and reduce fuel consumption. This paper comprehensively investigates the theory and technology for ACC of last decades. We conclude the main approach of modeling, control and optimization of ACC, and note that data-based ACC system which conforms driver character and habit has been a new trend.

关键词： Vehicles Adaptation models control systems Adaptive systems Conferences Predictive models Electronic mail

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An approach to remote update driver system of a robotic fish with two long fins

An approach to remote update driver system of a robotic fish...

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Chinese control Conference (CCC)

作者： Qingping Wei Shuo Wang Min Tan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

The robotic fish with two long fins is one kind of underwater robot system imitating stingray's motion. The robotic fish generates thrust by use of two long fins located on both sides of body symmetrically. A driver control system for the motion control of fin rays is designed based on FPGA(Field Programmable Gate Array). Several kinds of motion modes can be achieved through tuning motion parameters. In order to facilitate updating control algorithm, reducing the probability of damaging the robot system and improving debugging efficiency, a solution for remote updating the driver program of the robotic fish wirelessly is proposed in this paper based on the dedicated remote system update circuitry integrated in ALTERA FPGA. In addition, a remote update system is designed in this paper. The designed control program updating system facilitates the debugging and optimization of multi-fin coordination control algorithm for the robotic fish with two long fins greatly.

关键词： Field programmable gate arrays Robot kinematics Light emitting diodes Marine animals control systems Ash

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sEMG based joint angle estimation of lower limbs using LS-SVM

sEMG based joint angle estimation of lower limbs using LS-SV...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Qingling Song, Yu Hou, Zengguang Zhu, Bin Department of Mechanical Engineering China University of Mining and Technology Beijing China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9783642420535

In this paper, a new estimation model based on least squares support vector machine (LS-SVM) is proposed to build up the relationship between Surface electromyogram (sEMG) signal and joint angle of the lower limb. The input of the model is 2 channels of preprocessed sEMG signal. The outputs of the model are joint angles of the hip and the knee. sEMG signal is acquired from 7 motion muscles in treadmill exercise. And two channels of them are selected for dynamic angle estimation for their strong correlation with angle data. Angle estimation model is constructed by 2 independent LS-SVM based regression model with radial basis function (RBF). It is trained using part of the sample sets acquired in 10s exercise duration and test by all data. Experimental result shows proposed method has good performance on joint angles estimation based sEMG. Root mean square error (RMSE) of prediction knee and hip joint angles is 3.02° and 2.09° respectively. It provide new human-machine interface for active rehabilitation training of SCI, stroke or neurological injury patients. © Springer-Verlag 2013.

关键词： Patient rehabilitation

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A learning optimal control scheme for robust stabilization of a class of uncertain nonlinear systems

A learning optimal control scheme for robust stabilization o...

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Chinese control Conference (CCC)

作者： Ding Wang Derong Liu Hongliang Li Xiong Yang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

In this paper, a novel learning optimal control scheme is established to design the robust controller of a class of uncertain nonlinear systems. The robust control problem is transformed into the optimal control problem by properly choosing a cost function that reflects the uncertainty, regulation, and control. Then, the online policy iteration algorithm is presented to solve the Hamilton-Jacobi-Bellman (HJB) equation by introducing a critic neural network. The approximate expression of the optimal control policy can be derived directly. Moreover, the closed-loop system is proved to be uniformly ultimately bounded. The equivalence of the neural-network-based HJB solution of the optimal control problem and the solution of the robust control problem is developed as well. Finally, an example is provided to verify the effectiveness of the constructed approach.

关键词： Optimal control Cost function Robust control Equations Approximation methods Nonlinear systems Uncertainty

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Consensus tracking of general linear multi-agent systems: Fast sliding-mode algorithms

Consensus tracking of general linear multi-agent systems: Fa...

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Chinese control Conference (CCC)

作者： Huiyang Liu Long Cheng Min Tan Zengguang Hou Yunpeng Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

This paper solves distributed consensus tracking problems where the task is to make the multi-agent network, with each agent described by a general linear dynamics, to reach consensus with a leader whose control input is nonzero and not available to any followers. A set of sliding mode surfaces are defined and then fast sliding mode controllers are designed for both reduced order and non-reduced order cases. It is shown that all the trajectories exponentially converge to the sliding mode surfaces in a finite time if the leader has a directed path to at least one of the followers in a strongly connected and detailed balanced directed interaction graph and the leader's control input is bounded. The control Lyapunov function for exponential finite time stability, motivated by the fast terminal sliding mode control, is used to prove the reachability of the sliding mode surfaces. Simulation examples are given to illustrate the theoretical results.

关键词： Multi-agent systems Sliding mode control Trajectory Lead Manifolds Lyapunov methods Convergence

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Altered hemispheric symmetry found in left-sided mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE/HS) but not found in right-sided MTLE/HS

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MAGNETIC RESONANCE IMAGING 2013年第1期31卷 53-59页

作者： Lu, Jingjing Li, Wenjing He, Huiguang Feng, Feng Jin, Zhengyu Wu, Liwen Beijing Union Med Coll Hosp Dept Radiol Beijing 100730 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Beijing Union Med Coll Hosp Comprehens Epilepsy Ctr Beijing 100730 Peoples R China

Purpose: The purpose was to investigate the altered hemispheric asymmetry in patients with mesial temporal lobe epilepsy with unilateral hippocampus sclerosis (MTLE/HS). Materials and methods: This study examined the hemispheric asymmetry of regional gray matter (GM) and white matter (WM) volume among a group of 13 patients with left-sided MTLE/HS, a group of 10 patients with right-sided MTLE/HS and a group of 21 age- and gender- matched healthy controls by optimized voxel-based morphometry (VBM) based on magnetic resonance imaging. Results: Compared to healthy controls, abnormal asymmetries were detected in the left-sided MTLE/HS patients. The left-sided MTLE/HS patients had more GM asymmetries (L < R) in the temporal lobes, including the inferior temporal gyms, middle temporal gyms and parahippocampal gyms. There was significant asymmetry (L < R) in subcortical WM of the mesial temporal lobe in left-sided MTLE/HS patients. However, no significant difference was detected in terms of GM and WM asymmetry between the group with right-sided MTLE/HS and normal controls. Conclusion: We should approach hemispheric asymmetry in left- and right-sided MTLE/HS patients differently. The study also demonstrates potential future use of VBM in detecting hemispheric asymmetries and lateralization of brain functions. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Brain asymmetry Magnetic resonance imaging (MRI) Voxel-based morphometry (VBM) Mesial temporal lobe epilepsy Hippocampal sclerosis

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Integrated Job Scheduling with Parallel-Batch Processing and Batch Deliveries

Integrated Job Scheduling with Parallel-Batch Processing and...

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7th International Conference on Combinatorial Optimization and Applications, COCOA 2013

作者： Feng, Xin Zheng, Feifeng School of Management Xi’an Jiaotong University Xi’an Shaanxi710049 China Glorious Sun School of Business and Management Donghua University Shanghai200051 China State Key Lab for Manufacturing Systems Engineering Xi’an Shaanxi710049 China Ministry of Education Key Lab for Process Control and Efficiency Engineering Xi’an Shaanxi710049 China

ISBN: (纸本)9783319037790

This paper studies an integrated scheduling problem which consists of production and distribution stages. Jobs are processed on a parallel-batch machine in the production stage, and then transported to customers in the distribution stage. The aim is to find an integrated schedule in the two stages with the objective to optimize both total delivery time and total transportation cost. We focus on two models with either unbounded or bounded batch processing capacity in the production stage. In both models we assume sufficient vehicles each with infinite transportation capacity. For the unbounded model, we derive an O(g(n/g)2g) time dynamic programming algorithm where g ≥ 1 and n are the number of customers and jobs respectively. For the bounded model, we focus on a special case with m different processing times of jobs, and present an O(n323m) time algorithm. © Springer International Publishing Switzerland 2013.

关键词： Dynamic programming

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Design and Implementation of a Biomimetic Robotic Jellyfish Based on Multi-Linkage Mechanism

Design and Implementation of a Biomimetic Robotic Jellyfish ...

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32nd Chinese control Conference (CCC)

作者： Xiao, Jundong Yu, Junzhi Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9789881563835

Inspired by the characteristics of high agility and stability of live jellyfish, a novel biomimetic robotic jellyfish based on multi-linkage mechanism is developed in this paper. The robotic jellyfish consists of a streamlined head, a cavity shell, four driving devices with bevel gears, four actuators based on multi-linkage mechanism, a regulating mechanism for adjusting barycenter and a skin. The four centrosymmetric actuators is used to imitate the locomotion of jellyfish, including the relaxation phase and the contraction phase. The mutually independent and coordinated control of the four actuators is able to achieve diversified movements such as swimming forward, pitching and yawing. As a new type of bio-inspired robots, the robotic jellyfish with high agility, stability and low noise, will serve as a platform for underwater reconnaissance and environmental monitoring.

关键词： Bio-inspired robot Robotic jellyfish Multi-linkage mechanism

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