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第三十二届中国控制会议

作者： YANG Xiong LIU Derong WANG Ding The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479900305

This paper develops a novel neural-network-based direct adaptive control scheme for a class of multi-input-multioutput uncertain nonlinear discrete-time(DT) systems in the presence of unknown bounded *** employing feedback linearization methods,neural network(NN) approximation can cancel the nonlinearity of the DT ***,the weights of NNs are directly updated online instead of preliminary offline *** addition,unlike most literatures,the condition for persistent excitation is *** on Lyapunov's direct method,both tracking errors and weight estimates are guaranteed to be uniformly ultimately bounded,while keeping the closed-loop system ***,an example is provided to demonstrate the effectiveness of the proposed approach.

关键词： Uncertain nonlinear system Output feedback Multi-input-multi-output Direct adaptive control Neural network

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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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第三十二届中国控制会议

作者： WANG Ding LIU Derong LI Hongliang YANG Xiong The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479900305

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： Adaptive dynamic programming Neural networks Optimal control Robust control Uncertain nonlinear systems

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Quality Risk management Model for Railway Construction Projects

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Procedia Engineering 2014年 84卷 195-203页

作者： Li Qing Liu Rengkui Zhang Jun Sun Quanxin State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China Shanghai Railway Bureau Construction Management Department Shanghai 200071 China MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing 100044 China

Information technology has significant potential to enhance the engineering quality of the risk management of railway construction projects. The Shanghai Railway Bureau has promoted a risk management method based on the “A Figure and Four Tables” method (AFFTM) to assess the engineering quality; however, this method still suffers from several problems in railway construction project management. In this paper, we have combined the concepts and processes of the AFFTM with those of information technology and presented the implementation scheme of a new risk management system—the railway construction project quality risk management information system (RCPQRMIS)—that can be used to design and develop workable information tools for quality risk management. The paper analyzes the data standards of RCPQRMIS and creates a model for dynamically tracking the quality risk (“quality risk dynamic tracking” model) for providing pre-warning information on quality risk (“quality risk pre-warning” model) and for automatically generating publicity parameters for quality risk (“automatically generated quality risk publicity figure” model). The proposed system enables the visualization of the quality associated with the risk control, dynamic tracking, automatic pre-warning, and closed-loop management of railway construction projects. In addition, this paper presents the functional modules of the RCPQRMIS and its practical applications. Our application results show that the system successfully realized unified management of risk source information and multi-level sharing. In this manner, by using our system, we were able to significantly improve real-time tracking and pre-warning of the risk state, automatic generation of quality risk publicity figures, efficiency, and risk management levels.

关键词： railway construction project risk management a figure and four tables method MIS

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A Stochastic Model for Budget Distribution over Time in Search Advertisements

A Stochastic Model for Budget Distribution over Time in Sear...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li Yanwu Yang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences School of Management Huazhong University of Science and Technology

In search advertisements,advertisers have to seek for an effective allocation strategy to distribute the limited budget over a series of sequential temporal slots(e.g.,days).However,advertisers usually have no sufficient knowledge to determine the optimal budget for each temporal slot,because there exist much uncertainty in search advertising *** this paper,we present a stochastic model for budget distribution over a series of sequential temporal slots under a finite time horizon,assuming that the best budget is a random *** study some properties and feasible solutions for our model,taking the best budget being characterized by either normal distribution or uniform distribution,***,we also make some experiments to evaluate our model and identify strategies with the real-world data collected from practical advertising *** results show that a)our strategies outperform the baseline strategy that is commonly used in practice;b)the optimal budget is more likely to be normally distributed than uniformly distributed.

关键词： search advertisement budget distribution optimal budget stochastic programming budget constraint

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An Electronic Police System With Multiple Vehicle Parts Model

An Electronic Police System With Multiple Vehicle Parts Mode...

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IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Tian, Bin Li, Ye Li, Bo Zhu, Fenghua Xiong, Gang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479905300;9781479905294

With the development of urbanization, vehicle violations bring lots of problems for urban traffic. In this paper, we implement an electronic police system based on multiple salient vehicle parts for traffic surveillance. Vehicle is represented by its salient parts and its trajectory is obtained by tracking based on Kalman filter. First of all, multiple salient vehicle parts including the license plate and rear-lamps are localized using their distinctive features. Then vehicle tracking is performed using these parts with a Kalman filter to get vehicle motion trajectories. At last, traffic violations are detected by analyzing the vehicle trajectories and configuring various detection regions. Experiments show that our system is effective and it can achieve real-time performance for real traffic applications.

关键词： Vehicle detection tracking traffic incident detection

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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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第三十二届中国控制会议

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

ISBN: (纸本)9781479900305

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 cooperative control fast terminal sliding mode consensus exponential finite-time

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Application of a probabilistic model for analysing the abortion of seeds and pods in winter oilseed rape (Brassica napus)

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ANNALS OF APPLIED BIOLOGY 2014年第3期165卷 414-428页

作者： Wang, X. J. Mathieu, A. Cournede, P. -H. de Reffye, P. Zhang, B. G. China Agr Univ Coll Resources & Environm Sci Beijing 100193 Peoples R China Ecole Cent Paris Lab MAS 92290 Chatenay Malabry France AgroParisTech UMR Environm & Grandes Cultures 1091 Thiverval Grignon France CIRAD AMAP Montpellier France DigiPlante INRIA Montpellier France Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Chinese Acad Sci Cloud Comp Ctr CASIA Dongguan Res Inst Dongguan Peoples R China

In winter oilseed rape (WOSR), only a subset of ovules can develop into seeds in the majority of pods. Any difficulty during the process of seed production may result in seed or pod abortion. This study aimed to reproduce the process of seed development in WOSR based on a limited number of parameters. As a result of the complexity of the developmental patterns of WOSR, it is challenging to identify the roles of various factors that influence seed production using an experimental approach. Here, we present a stochastic probabilistic model of seed development. The generalised least squares method was implemented to estimate the model parameters using the experimental data. Experiments were done in Grignon (France) in 2008 and 2009. The variations in the parameters were analysed according to the following four factors: year, pod rank, inflorescence position and ramification-clipping treatment. The year had no effect on the number of ovules per ovary () and the probability of seed viability (p). The proportion of effective pollen grains (k) significantly decreased with pod rank at the end of the main stem. Inflorescence position influenced the number of ovules per ovary (: 30.8-33.8 from top to bottom) and the parameter k. The mean number of seeds per pod on the main stem and the bottom ramification along the stem was larger than the other ramifications within one plant. Ramification-clipping treatment increased the number of ovules per ovary (: 31 for control plants and 32 for clipped plants), the parameter k and the number of seeds per pod (p). This effect could be due to the competition for assimilates between the pods and seeds. Furthermore, the distribution parameters of the pollen number per stigma (m) remained stable, and the probability of pod survival (Bo) varied with different factors, including the year, pod rank and inflorescence position. Our results indicate that pollen germination is a factor that determines final seed number. This model can identify the

关键词： Parameter estimation probabilistic model seed and pod abortion winter oilseed rape

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PI controller design for Network control system based on minimum entropy control

PI controller design for Network control system based on min...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Xinlan-Guo Tao-Li Hongxia Zhao Mechanical and Electrical Engineering Department Nanjing Communications Institute of Technology Enterprise Custom Department Huawei Nanjing Institute The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS,the iterative learning ideas to batch control system output probability density function,so that the output probability density function of the system with increasing batch tracking a given probability density *** order to achieve the NCS system of tracking error probability density function control,this paper introduces the minimum entropy control algorithm.

关键词： minimum entropy control NCS PI controller.

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Partial correspondence based on subgraph matching

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NEUROCOMPUTING 2013年 122卷 193-197页

作者： Yang, Xu Qiao, Hong Liu, Zhi-Yong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Exploiting both appearance similarity and geometric consistency is popular in addressing the feature correspondence problem. However, when there exist outliers the performance generally deteriorates greatly. In this paper, we propose a novel partial correspondence method to tackle the problem with outliers. Specifically, a novel pairwise term together with a neighborhood system is proposed, which, together with the other two pairwise terms and a unary term, formulates the correspondence to be solved as a subgraph matching problem. The problem is then approximated by the recently proposed Graduated Non-Convexity and Graduated Concavity Procedure (GNCGCP). The proposed algorithm obtains a state-of-the-art accuracy in the existence of outliers while keeping O(N-3) computational complexity and O(N-2) storage complexity. Simulations on both the synthetic and real-world images witness the effectiveness of the proposed method. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Feature correspondence Structural model Subgraph matching GNCGCP

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Dynamical stability analysis of delayed recurrent neural networks with ring structure

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INTERNATIONAL JOURNAL OF MODERN PHYSICS B 2014年第19期28卷

作者： Zhang, Huaguang Huang, Yujiao Cai, Tiaoyang Wang, Zhanshan Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

In this paper, multistability is discussed for delayed recurrent neural networks with ring structure and multi-step piecewise linear activation functions. Sufficient criteria are obtained to check the existence of multiple equilibria. A lemma is proposed to explore the number and the cross-direction of purely imaginary roots for the characteristic equation, which corresponds to the neural network model. Stability of all of equilibria is investigated. The work improves and extends the existing stability results in the literature. Finally, two examples are given to illustrate the effectiveness of the obtained results.

关键词： Delayed neural network ring structure purely imaginary root multistability

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