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Performance Improvement in Communication-Based Train control(CBTC)systems using Cognitive control

Performance Improvement in Communication-Based Train Control...

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

作者： Wenzhe Sun F. Richard Yu Tao Tang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Department of Systems and Computer Engineering Carleton University

Communication-Based Train control(CBTC)systems use bidirectional train-wayside wireless communications to ensure the safe operation of rail *** to unreliable wireless networks,the uncertainties in train status information leads to imperfect traction/braking commands,which will affect CBTC *** this paper,we use recent advance in cognitive control to positively improve control performance as well as reduce information uncertainties.A cognitive control system composed of Networked control System(NCS)-based state-space model and entropic-state model is *** performance optimization problem based on communication period decision and Medium Access control(MAC)-layer parameters adaption is formulated as a stochastic control *** the energy consumption and information uncertainties is the objective of our *** result shows that the proposed cognitive control scheme can improve CBTC performance.

关键词： cognitive control,CBTC,wireless networks,quality of service.

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Energy-Efficient Communication-Based Train control (CBTC) systems with Random Delay and Packet Drop

Energy-Efficient Communication-Based Train Control (CBTC) Sy...

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IEEE Global Communications Conference

作者： Wenzhe Sun F. Richard Yu Tao Tang Bing Bu State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Department of Systems and Computer Engineering Carleton University

ISBN: (纸本)9781479935130

Communication-Based Train control (CBTC) systems use bidirectional train-wayside wireless communications to ensure the safe operation of rail vehicles. The random delay and packet drop introduced by wireless communication will lead to inaccurate train status and unnecessary control commands, which will affect the performance of CBTC systems. In this paper, we study the impact of communication delay and packet drop on CBTC systems. We formulate a networked control system (NCS)-based model for CBTC systems with random delay and packet drop, and propose a control scheme based on packet retry limit adaption and guidance trajectory update to improve the train control performances. Simulation result shows that our proposed scheme can significantly improve the energy efficiency and punctuality in CBTC systems compared to existing schemes.

关键词： CBTC Wireless networks Quality of service

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Outage Analysis of integrated Mesh LTE Femtocell Networks

Outage Analysis of integrated Mesh LTE Femtocell Networks

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IEEE Global Communications Conference

作者： Anthony Busson Lynda Zitoune Veronique Veque Bijan Jabbari Laboratoire de l'Informatique du Parallelisme Department of Systems Engineering ESIEE-Paris Signals and Systems Laboratory SUPELEC Electrical and Computer Engineering Department George Mason University Fairfax

ISBN: (纸本)9781479935130

The femtocell - Wi-Fi integration is a promising approach to solve the problem of inter-tier or intra-tier interference in heterogeneous networks. In this paper, multimode femtocell base stations are deployed which form a Wi-Fi mesh network to communicate between themselves while deploying cellular technology (e.g., LTE) for communications with mobile users, thus ensuring ultimately connectivity between mobile users and their macro base stations to improve the network coverage. We propose a tractable model for coverage/outage to evaluate the benefits of such integration in terms of SINR and received signal strength. Our work is based on point processes in two-dimensional plane that models locations of femtocell - Wi-Fi (also referred to as multimode) nodes. The proposed model is more realistic than the classical Poisson point process, as the distribution of points is more homogeneous and it ensures that the nodes are not too close to each other. The derivation of coverage/outage formula allows us to determine operational parameter ranges for the Wi-Fi network to form a mesh network. In addition, it helps in the design of the femtocell network to ensure a suitable coverage for users in terms of SINR and received signal strength.

关键词： Interference IEEE 802.11 Standards Mobile communication Signal to noise ratio Mesh networks Switches

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Fast and Precise Positioning of Wheeled Omni-directional Robot With Input Delay Using Model-based Predictive control

Fast and Precise Positioning of Wheeled Omni-directional Rob...

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第三十三届中国控制会议

作者： Mahdi Zarghami Ahmad Fakharian Amin Ganjali Poudeh Aras Adhami-Mirhosseini Faculty of Electrical Biomedical and Mechatronics EngineeringMechatronics Research Laboratory (MRL)Qazvin BranchIslamic Azad University Advanced Control Systems Lab. School of Electrical and Computer EngineeringCollege of EngineeringUniversity of Tehran

ISBN: (纸本)9781479947249

In dynamic environments, Omni-directional mobile robots sometimes are required to accomplish accurate and stable tracking of trajectories, but rare researches are addressed in the literature, which specifically deal with time-delay *** order to cope with such situation, the trajectory tracking of an Omni-directional mobile robot is handled by model predictive control in presence of input-delay. The main innovation of this work is that MPC controller is employed to the end of ***, a significant reduction is yielded in the time of robot motion. This strategy forces that MPC method uses nearly good model approximation in which, the model deficiency can be compensated by modifying the novel kinematic model for ***, in this study, the proposed controller is compared with PID controller that achieve about 40% enhancement in amount of time to reach target and also results in to the more precise robot control in target point error.

关键词： input delay Omni-directional mobile robots predictive control motion control

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A Partial-State Observer for a Class of MIMO Nonlinear systems

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IFAC Proceedings Volumes 2014年第3期47卷 3676-3681页

作者： Lei Wang Alberto Isidori Hongye Su Weihua Xu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University 310027 Hangzhou P.R.China Department of Computer Control and Management Engineering University of Rome “La Sapienza” Rome Italy

In this paper, we consider input-affine invertible MIMO nonlinear systems which can be transformed into a special normal form by means of the structure algorithm. The normal form highlights a partial state, a subset of state variables, which plays in this setting a role similar to that of the outputs and its derivatives in a SISO system. It is shown that, if a system in this class can be asymptotically stabilized by means of a static feedback from that partial state, then semiglobal stabilization can be achieved via dynamic feedback driven by the output of the system. The dynamic feedback in question is based a (non–trivial) extension to MIMO systems of the standard high–gain observer.

关键词： MIMO nonlinear systems structure algorithm normal forms minimum-phase systems nonlinear observers

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An high-efficient online reinforcement learning algorithm for continuous-state systems

An high-efficient online reinforcement learning algorithm fo...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yuanheng Zhu Dongbin Zhao Haibo He The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA

In this paper, we consider continuous-state systems and pursue a near-optimal policy through online learning. A new online reinforcement learning algorithm-MSEC (Multi-Samples in Each Cell) is proposed. The proposed algorithm combines state aggregation technique and efficient exploration principle, making high utilization of samples observed online. More concretely, we apply a grid over the continuous state space and partition it into different cells. Then, a near-upper Q iteration operator is defined to use samples in each cell and produce a near-upper Q function, whose corresponding greedy policy is efficient for exploration. MSEC is a totally model-free algorithm, which means no system dynamics is required during the implementation. It collects the system knowledge during the online learning. Based on PAC (Probability Approximately Correct) principle, MSCE can find a near-optimal policy in finite time bound online. To test the performance, an inverted pendulum is simulated and the results show the new algorithm is qualified for solving online optimal control problems.

关键词： Algorithm design and analysis Heuristic algorithms Partitioning algorithms Learning (artificial intelligence) Approximation algorithms Polynomials Upper bound

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Substation-control center two-level distributed network modeling

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第9期38卷 107-113and151页

作者： Wang, Jing Sun, Hongbin Chen, Runze Zhang, Yang Wu, Wenchuan Guo, Qinglai Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China National Electric Power Dispatching and Control Center Beijing100031 China

As the traditional centralized network modeling for energy management system (EMS) in control center is error prone, heavily reliant on maintenance, and lacking in self-healing ability while unable to satisfy the needs of the distributed application of future transmission grid, a method of substation-control center two-level distributed network modeling is presented. The information model including the network model as well as one-line diagram is built in the substation, transferred to the control center after transformation, and then merged to form an entire network model in control center. The architecture and key technologies such as substation modeling, model transferring and transforming, model joining are discussed in detail. The proposed method has been successfully implemented in China Eastern Grid as shown in the field-application results. ©2014 State Grid Electric Power Research Institute Press.

关键词： Energy management systems

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Explicit fragility margins for PWA control laws of discrete-time linear systems

Explicit fragility margins for PWA control laws of discrete-...

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European control Conference (ECC)

作者： N. A. Nguyen S. Olaru G. Bitsoris P. Rodriguez-Ayerbe E3S (SUPELEC Systems Sciences) Department of Automatic Control France Department of Electrical and Computer Engineering University of Patras Patras Greece

ISBN: (纸本)9781479947287

The paper considers a given discrete-time linear dynamic in closed loop with a piecewise affine control law defined over a bounded polyhedral partition of the state space χ. The objective is to describe the largest error affecting the control law coefficients over each region in the above partition, for which the positive invariance of the set χ is guaranteed with respect to the closed loop dynamics. This subset describes in fact a robust invariance margin with respect to a subset of closed-loop parameters and subsequently represents the explicit fragility margin of the given piecewise affine controller. The fragility characterizes the impact of an error in the implementation of a given controller. It is shown that the largest subset of errors in the state feedback gains is represented by a polyhedral set explicitly constructed with operations over convex domains. A series of remarks on the structure of the numerical problems are discussed and an example is provided for illustration.

关键词： Silicon Aerospace electronics Robustness Rail to rail inputs State feedback Vectors Equations

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Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information

Cooperative and Geometric Learning Algorithm (CGLA) for path...

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作者： Zhang, Baochang Liu, Wanquan Mao, Zhili Liu, Jianzhuang Shen, Linlin Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering BeiHang University Beijing 100191 China Department of Computing Curtin University Perth WA 6102 Australia Shenzhen Key Laboratory of Spatial Smart Sensing and Services School of Computer Science and Software Engineering Shenzhen University China Media Laboratory Huawei Technologies Co.Ltd. Shenzhen 518129 China

In this paper, we propose a new learning algorithm, named as the Cooperative and Geometric Learning Algorithm (CGLA), to solve problems of maneuverability, collision avoidance and information sharing in path planning for Unmanned Aerial Vehicles (UAVs). The contributions of CGLA are three folds: (1) CGLA is designed for path planning based on cooperation of multiple UAVs. Technically, CGLA exploits a new defined individual cost matrix, which leads to an efficient path planning algorithm for multiple UAVs. (2) The convergence of the proposed algorithm for calculating the cost matrix is proven theoretically, and the optimal path in terms of path length and risk measure from a starting point to a target point can be calculated in polynomial time. (3) In CGLA, the proposed individual weight matrix can be efficiently calculated and adaptively updated based on the geometric distance and risk information shared among UAVs. Finally, risk evaluation is introduced first time in this paper for UAV navigation and extensive computer simulation results validate the effectiveness and feasibility of CGLA for safe navigation of multiple UAVs. © 2014 Elsevier Ltd. All rights reserved.

关键词： Motion planning

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Embedding of Nonlinear systems in a Linear Parameter-Varying Representation

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IFAC Proceedings Volumes 2014年第3期47卷 6907-6913页

作者： Hossam S. Abbas Roland Tóth Mihály Petreczky Nader Meskin Javad Mohammadpour Department of Electrical Engineering College of Engineering Qatar University PO Box 2713 Doha Qatar Electrical Engineering Department Faculty of Engineering Assiut University Assiut Egypt Control Systems Group Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Department of Computer Science and Automatic Control Ecole des Mines de Douai 59508 Douai France Intelligent Control Systems Lab College of Engineering The University of Georgia Athens GA 30602 USA

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration.

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