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Hybrid Causal Methodology in Quantitative Risk Assessment for the On-board ATP of High Speed Railway

Hybrid Causal Methodology in Quantitative Risk Assessment fo...

17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Dewang Ren Wei Zheng Daohua Wu National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Institute of Traffic Safety and Automation Engineering Technical University of Braunschweig

This paper presents a quantitative risk assessment method based on the use of hybrid causal logic in the sociotechnical system,the influence in the technological aspects is analyzed as well as in the operational *** modeling techniques and analyzing methods are applied in this paper aiming at different angles in the socio-technical *** tree and fault tree are used to identify the deterministic causal paths between components,the non-deterministic causal relationships(especially focusing on the impact of human factors and organization)are determined with Bayesian network(BN)(combining with evidence theory)andω*** paper has two objectives:One is that the hybrid causal framework for high-speed railway on-board ATP equipment is presented to assess risks *** other is that the influence of non-deterministic factors(human factors and organization)in ATP equipment is analyzed combining with BNs,ωmethod and evidence theory.

关键词： ATP Hybrid Causal Methodology in Quantitative Risk Assessment for the On-board ATP of High Speed Railway

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The improved ant colony algorithm test sequence optimization based on the RBC Test Platform

The improved ant colony algorithm test sequence optimization...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Naiwen Hu Wei Zheng National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Institue of Traffic Safety and Automation Engineering Technical University of Braunschweig

With the rapid development of China train control system(CTCS-3),stability and safety of the CTCS-3 have become the focus of the train *** to the CTCS-3 functional requirement specification issued by the Ministry of Railways,this paper implements the following three aspects:Firstly,some representative functional scenarios of Radio Block Centre(RBC)are selected to build the models by Colored Petri Net(CPN)and to generate the RBC test cases of XML ***,the sequence sets of test cases may be optimized based on the improved ant colony algorithm and ideological *** is the optimization idea is that not only can be the shortest pathes found but also the redundant phenomenon of test sequence generation can be reduced according to the natural law of ants ***,the RBC test platform may automatically generate test cases and test sequences for the *** result shows that the proposed method can achieve optimization of test sequences successfully and reduce the test time greatly.

关键词： The improved ant colony algorithm test sequence optimization based on the RBC Test Platform RBC

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Formulation of MPC for Multiplicative Stochastic Uncertainty by Multi-step Probabilistic Sets

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IFAC Proceedings Volumes 2014年第3期47卷 10421-10426页

作者： Jiwei Li Dewei Li Yugeng Xi Lihui Cen Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China Department of Control Engineering Central South University Changsha Hunan Province 410083 China

This paper designs multi-step probabilistic sets for linear, discrete-time, stochastic systems with unbounded multiplicative noise and probabilistic constraints. Multi-step probabilistic sets strengthen IWPp by bringing more degrees of freedom to optimize the applicable region of finite-step probabilistic constraints, and extending the prediction horizon of IWPp to infinity for infinite-horizon probabilistic constraints. Conditions for multi-step probabilistic sets are then incorporated into a stochastic model predictive control algorithm to satisfy probabilistic constraints. Closed-loop mean-square stability is guaranteed by the algorithm. A numerical example shows the performance of the proposed algorithm.

关键词： probabilistic constraints multi-step feedback multiplicative uncertainty

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Probabilistic constrained stochastic model predictive control for Markovian jump linear systems with additive disturbance

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IFAC Proceedings Volumes 2014年第3期47卷 10469-10474页

作者： Jianbo Lu Yugeng Xi Dewei Li Lihui Cen Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China Department of Control Engineering Central South University Changsha Hunan Province 410083 China

This paper is concerned with stochastic model predictive control for Markovian jump linear systems with additive disturbance, where the systems are subject to soft constraints on the system state and the disturbance sequence is finitely supported with joint cumulative distribution function given. By resorting to the maximal disturbance invariant set of the system, a model predictive control law is given based on a dynamic controller which is with guaranteed recursive feasibility and ensures the probabilistic constraints on the states. By optimizing the volume of the disturbance invariant set, the dynamic controller is given. The closed loop system under this control law is proven to be stable in the mean square sense. Finally, a numerical example is given to illustrate the developed results.

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Task-space hybrid motion/force control of bilateral teleoperation with unsymmetrical time-varying delays

Task-space hybrid motion/force control of bilateral teleoper...

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Chinese control Conference (CCC)

作者： Dehong Wang Zhijun Li Chun-Yi Su The Key Lab of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou Guangdong CN

The control of bilateral teleoperators is challenging due to the complexity of their nonlinear dynamics, the time delays in the communications as well as the wide range of practical real applications. In this paper, operational space adaptive control of hybrid motion/force synchronization is proposed for bilateral networked teleoperation system with asymmetric time-varying delays in communication channels. The adaptive control with parameter update mechanism is developed to deal with the different kinematics, dynamics uncertainties and external disturbances for the master robot and the slave robot. The system stability is rigorously proved using Lyapunov stability synthesis. The proposed adaptive control is robust against relative motion disturbances, parametric uncertainties and time delay, which is validated by extensive simulation studies.

关键词： Force Delay effects Synchronization Manipulator dynamics Delays

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On overcoming limitations of a class of linear systems with first-order reset elements

On overcoming limitations of a class of linear systems with ...

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World Congress on Intelligent control and automation (WCICA)

作者： Guanglei Zhao Jingcheng Wang Kang Li Department of Automation Key Laboratory of System Control and Information Processing China Electrical Engineering and Computer Science Queens University Belfast UK

This paper considers using reset control to improve transient performance and overcome some fundamental limitations of linear systems. First, an auxiliary system is presented, then, based on which, a new reset control model is proposed, such that the non-overshoot performance specification can be met for any minimum phase relative degree one plants, the results imply some limitations of linear systems are overcome and clearly illustrate the advantages of reset control. A numerical example is given to show the effectiveness.

关键词： Closed loop systems Stability analysis Gold Linear systems Steady-state Educational institutions

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On infinite time performance of nonlinear model predictive controllers 19

On infinite time performance of nonlinear model predictive c...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Cai, Xin Li, Shaoyuan Li, Ning Li, Kang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast BelfastBT7 1NN United Kingdom

ISBN: (纸本)9783902823625

This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal performance limits of closed-loop model predictive control systems. Based on the Principle of Optimality, an upper and a lower bound of the ratio between the total performance and the finite horizon optimal cost are obtained explicitly expressed by the optimization horizon. The results also illustrate, from viewpoint of performance, how model predictive controllers approaches to infinite optimal controllers as the optimization horizon increases. © IFAC.

关键词： controllers

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An intermittent iterative learning control design based on a 2D roesser system

An intermittent iterative learning control design based on a...

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World Congress on Intelligent control and automation (WCICA)

作者： Xuhui Bu Long Zhang Fashan Yu Zhongsheng Hou School of Electrical Engineering & Automation Henan Polytechnic University Jiaozuo China Advanced Control System Laboratory Beijing Jiaotong University Beijing China

In network-based iterative learning control (ILC) systems, intermittent measurement often occurs during the data packet transfers from the remote plant to the ILC controller. In this paper, measurement missing is modeled by stochastic variables satisfying the Bernoulli random binary distribution, and then the design of ILC law is transformed into a feedback control problem of a 2D stochastic system described by Roesser model. A sufficient condition for mean-square asymptotic stability is established by means of linear matrix inequality (LMI) technique, and formulas can be given for the control law design simultaneously. A numerical example illustrates the effectiveness of the proposed results.

关键词： Asymptotic stability Stochastic systems Educational institutions Sufficient conditions Indexes Networked control systems

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Robust control reconfiguration of resource allocation systems with Petri nets and integer programming

Robust control reconfiguration of resource allocation system...

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作者： Li, Jun Zhou, Mengchu Guo, Tao Gan, Yahui Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommodate some uncertainties in the prior studies. Such exploitation can cost-efficiently achieve reconfigurability and flexibility for real systems. This paper presents a robust reconfiguration method based on Petri nets (PNs) and integer programming for supervisory control of resource allocation systems (RASs) subject to varying resource allocation relationships. An allocation relationship is seen as a control specification while the execution processes requiring resources as an uncontrolled plant. First, a robust reconfiguration mechanism is proposed. It includes updating the P-invariant-based supervisor and evolving the state of the closed-loop system. The latter adapts to the control specification changes by the self-regulation of the closed-loop system's state. Next, two novel integer programming models for control reconfiguration are proposed, called a reconfiguration model with acceptability and reconfiguration one with specification correction. Since both models integrate the firability condition of transitions, no additional efforts are required for the state reachability analysis. Finally, a hospital emergency service system is used as an example to illustrate them. © 2014 Elsevier Ltd. All rights reserved.

关键词： Integer programming

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Design and application of consensus-based filtering for Local Strongly Coupled & constrained systems

Design and application of consensus-based filtering for Loca...

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World Congress on Intelligent control and automation (WCICA)

作者： Hengyu Duan Hua O. Wang Yunze Cai Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Department of Mechanical Engineering Boston University Boston MA USA

In the brand new era of “big data”, finding creative strategies for information fusion in a complicated system is important. Previous researchers have introduced a model called “Local Strongly Coupled system”, in which every agent stochastically communicates only with its neighbours (i.e. “coupled” nodes). However, the meaning of a system's intrinsic a priori constraints is always neglected. And we assume that in practical instances, the whole system is supposed to take on a consistent result, or “consensus” decision. This paper, taking constraints into account, presents a new strategy to help minimize the filtering error. Furthermore, based on consensus policy, the approach is applied to local strongly coupled systems, especially systems with packet loss. Effectiveness and practicability of all the proposed algorithms are shown through simulations.

关键词： Filtering Mathematical model Equations State estimation Estimation error Target tracking

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