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13th IEEE international conference on Automation Science and Engineering (IEEE CASE)

作者： Friedrich, Christian Zielke, Viktor Toussaint, Marc Lechler, Armin Verl, Alexander Univ Stuttgart Inst Control Engn Machine Tools & Mfg Units D-70174 Stuttgart Germany Univ Stuttgart Inst Machine Learning & Robot D-70174 Stuttgart Germany

ISBN: (纸本)9781509067817

In order to enable robot systems to solve complex tasks autonomously, it is essential to model the environment in a sufficient way. This work describes a new approach to create a consistent environment model, using next-best-view planning which combines the optimization of the space exploration and the object recognition task. The approach is designed for the automation of maintenance tasks, which is a challenging task for autonomous robotic systems. After a general overview of the developed system, we explain the theoretic foundations for building a consistent environment model which can be used for manipulation planning. The concept is validated by means of application-oriented examples.

关键词： Solid modeling Maintenance engineering Automation Robot sensing systems Planning

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modeling threats to information security using IDEF0 methodology

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IOP conference Series: Materials Science and Engineering 2019年第1期597卷

作者： A A Khristolyubova A A Konev A A Shelupanov M L Solovev Joint stock company Central design bureau of automatics Russia Omsk Kosmichesky pr. 24a 644027 Russian Federation Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics 40 Lenin pr. Tomsk 634050 Russian Federation University administration Tomsk State University of Control Systems and Radioelectronics 40 Lenin pr. Tomsk 634050 Russian Federation University administration Siberian state university of telecommunications and information sciences 86 Kirova str. Novosibirsk 630102 Russian Federation

The paper describes the implementation of a method for modeling threats to information security using the methodology of IDEF0 functional modeling to solve problems of formalization of specific threat models. The formulation of the method for modeling threats to information security accounts for various media of information transmission and its carriers. In addition, a process approach to information handling is used.

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System Identification and control of PPUAV 7

System Identification and Control of PPUAV

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7th IEEE Annual international conference on CYBER Technology in Automation, control, and Intelligent systems (CYBER)

作者： Li, Bingbing Yang, Liying He, Yuqing Han, Jianda Xiao, Jizhong Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Liaoning Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China CUNY City Coll New York NY 10021 USA

ISBN: (纸本)9781538604908

Powered Parafoil Unmanned Aerial Vehide(PPUAV), which is suitable for large-area and longtime surveillance and airdrop missions, is a type of innovative UAV. It consists of parafoil canopy, payload and suspension lines, and has the advantages of simple structure, low cost and high load capacity. However, PPUAV has the problems of apparent mass and flexible connection, which makes it hard to build an accurate model for controller design in practical applications. This paper develops an applicable method of modeling to capture the main characteristics of PPUAV, and the proposed model is validated by actual flight test. An adapted PID controller and a guidance algorithm are also proposed based on the model. The simulations show the effectiveness of the control method for applications of PPUAV.

关键词： powered parafoil UAV model simplification system identification feed-forward control guidance

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Generation of potential system architectures by applying a stochastic clustering algorithm in the high-lift actuation preliminary design process 19

Generation of potential system architectures by applying a s...

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19th international Dependency and Structure modeling conference, DSM 2017

作者： Chama, Leonel Akoto Bertram, Oliver Schuman, Holger Department of Safety Critical Systems and Systems Engineering Institute of Flight Systems German Aerospace Center Lilienthalplatz 7 Braunschweig38108 Germany

ISBN: (纸本)9783000574795

High-lift systems are highly complex subsystems of aircrafts, composed of hundreds of components working together in synergy. Designing new concepts for new aircraft configurations and requirements (e.g. multi-functional flight control systems) for more efficient flight is a complex and demanding task, thus designers are prone to using existing system solutions with slight modifications. Hence, new flight control system architectures are based on solutions mainly optimized for different (old) aircrafts. This inhibits the complete capture of the benefits that come with systems optimized for present aircraft configurations and requirements. As a first step towards generating innovative architectures driven by the new requirements, this paper applies a stochastic design structure matrix clustering algorithm within the pre-design process, to generate alternative system architectures. With this approach, near-optimal system architectures for novel aircraft configurations and requirements can be analyzed and alternatives can be evaluated for system level impact.

关键词： Flight control systems

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A Reliability Improvement Method for Reconfigurable Information and Oil Production control systems 6

A Reliability Improvement Method for Reconfigurable Informat...

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6th international conference on Informatics, Electronics and Vision (ICIEV) / 7th international Symposium in Computational Medical and Health Technology (ISCMHT)

作者： Korovin, Iakov S. Melnik, Eduard, V Klimenko, Anna B. Schaefer, Gerald Southern Fed Univ Taganrog Russia Russian Acad Sci Southern Sci Ctr Rostov Na Donu Russia Loughborough Univ Loughborough Leics England

ISBN: (纸本)9781538610237

Fault tolerance, a way to obtain system dependability, is extremely important in domains such as aircraft and spacecraft industries, energy plants, and oil processing and oil producing industries. For information and control systems (ICSs) with performance redundancy, fault tolerance is provided by a special reconfiguration procedure which relates to the monitoring and control task distribution among the operable computational nodes. At the same time, the reliability function of the ICS depends on the computational node load intensity: as the node load (and temperature) increases, the failure rate also increases. This is the cornerstone of the reliability improvement method we present in this paper: to control and improve the reliability function of the system by the configuration formation process. We describe our approach in detail, present a formal model of the ICS configuration formation problem, and give and discuss experimental results.

关键词： Task analysis Search problems Redundancy Load management Load modeling Oils tabu search task analysis load management Load modeling redundancy oils Fault tolerance control systems Integrated circuits failure rates PROCESSING OIL Iterated Function System

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Multiple-field systems Dynamic modeling, Part IV Fluid-Structure-Interaction physical coupling 8

Multiple-field Systems Dynamic Modeling, Part IV Fluid-Struc...

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8th international conference on Mechanical and Aerospace Engineering (ICMAE)

作者： Zanj, Amir He, Fangpo Flinders Univ S Australia Coll Sci & Engn Adv Control Syst Res Grp Adelaide SA Australia

ISBN: (纸本)9781538633069

In this study, a new fundamental modeling framework for coupling the solid and fluid fields is proposed with which the system dynamics are generated with respect to the internal energetic interactions between the system existing physical domains. To this aim, the physical-decomposition modeling techniques, developed respectively for the solid [1] and fluid [2] fields, are implemented. By considering the conserved power transactions between the two fields, the reversible and irreversible intra-connections are then generated. Owing to the domain-independency of the generated models, the total conserved power transactions between the two fields are defined distinguishably from the power transactions of the corresponding physical domains of the two fields in the form of handshaking. This strategy broadens the physical insights of power transactions in fluid-structure-interaction (FSI) investigations. The added capabilities of the proposed framework provide a novel feature into the FSI dynamic modelling that can, not only, broaden the valid range of the ensuring model but, more importantly, offer a unique opportunity for capturing and revealing the unknown FSI phenomena previously hidden using existing classical physical knowledge.

关键词： energy-based modeling FSI problems physical modeling dynamic coupling Bond graph

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Framework for control and Deep Reinforcement Learning in Traffic 20

Framework for Control and Deep Reinforcement Learning in Tra...

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20th IEEE international conference on Intelligent Transportation systems (ITSC)

作者： Wu, Cathy Parvate, Kanaad Kheterpal, Nishant Dickstein, Leah Mehta, Ankur Vinitsky, Eugene Bayen, Alexandre M. Univ Calif Berkeley Elect Engn & Comp Sci Berkeley CA 94720 USA UCLA Elect Engn Los Angeles CA USA Univ Calif Berkeley Mech Engn Berkeley CA USA Univ Calif Berkeley Inst Transportat Studies Berkeley CA USA

ISBN: (纸本)9781538615263

Recent advances in deep reinforcement learning (RL) offer an opportunity to revisit complex traffic control problems at the level of vehicle dynamics, with the aim of learning locally optimal policies (with respect to the policy parameterization) for a variety of objectives such as matching a target velocity or minimizing fuel consumption. In this article, we present a framework called CISTAR (Customized Interface for SUMO, TraCI, and RLLab) that integrates the widely used traffic simulator SUMO with a standard deep reinforcement learning library RLLab. We create an interface allowing for easy customization of SUMO, allowing users to easily implement new controllers, heterogeneous experiments, and user-defined cost functions that depend on arbitrary state variables. We demonstrate the usage of CISTAR with several benchmark control and RL examples.

关键词： Simulation deep reinforcement learning control vehicle dynamics

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MP-ABT: A Minimal Perturbation Approach for complex Local problems 9

MP-ABT: A Minimal Perturbation Approach for Complex Local Pr...

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9th international conference on Agents and Artificial Intelligence (ICAART)

作者： El Khattabi, Ghizlane El Graoui, El Mehdi Benelallam, Imade Bouyakhf, El Houssine Mohammed V Univ Fac Sci LIMIARF Rabat Morocco Natl Inst Stat & Appl Econ INSEA Rabat Morocco

ISBN: (纸本)9789897582196

The ability of Distributed Constraints Reasoning (DCR) to solve distributed combinatorial problems brings the DCR to have a considerable interest in multi-agent community. Hence, many DisCSP algorithms have been proposed in order to solve such distributed problems. The major limit of these algorithms is the simplification assumptions. The scientists assume that each agent is a simple one;it handles just one variable. But in the complex local problem case;where each agent has more than one variable;two methods are used: The compilation and the decomposition. These methods transform the original problem so as to make it as a simple one. In this paper, we propose a new protocol: MP-ABT (Minimal Perturbation complex local problems in the Asynchronous Backtracking). It is a resolution algorithm of DisCSPs with complex local problems. It is based on the ABT algorithm and the Dynamic CSP. Each complex agent is seen as a Minimal Perturbation Problem (MPP) and any received message is considered as a new intra-constraint perturbation event. The complex local problem is updated and a new MPP local solution is reported. The MP-ABT is presented and compared to three ABT families. Our experimental results show the MP-ABT effectiveness.

关键词： Multi Agent System Distributed Constraint Satisfaction Problem complex Local Problem Minimal Perturbation Problem

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A colored petri-net model for control execution of distributed systems 4

A colored petri-net model for control execution of distribut...

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4th international conference on control, Decision and Information Technologies, CoDIT 2017

作者： Charaf, My El Hassan Azzouzi, Salma ISO-Lab: Laboratory of Informatics Systems and Optimization Faculty of Science Ibn Tofail University Kenitra Morocco

ISBN: (纸本)9781509064656

A crucial part of the development of distributed systems process is the test phase. Indeed, in the distributed testing context, the use of multiple testers introduces the possibility of coordination problems amongst remote testers. These potential problems are known as controllability and observability fault detections which are fundamental features of conformance in distributed testing. The paper presents some technical issues for testing such frameworks using rules based System. The proposed approach consists on exploring how a colored Petri net model used in distributed testing prototype realization contribute to design the communication between different components of the distributed test application and by the way capture the complex monitoring tasks of the distributed testers. © 2017 IEEE.

关键词： Observability

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Personalizing Query Auto-Completion for Multi-Session Tasks

Personalizing Query Auto-Completion for Multi-Session Tasks

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IEEE international conference on Computer and Communication Engineering Technology (CCET)

作者： Danyang Jiang Fei Cai Honghui Chen Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781538674383

Query auto-completion (QAC) displays a list of completions that start with input characters and is integrated into modern search engines. The goal is not only to reduce typing effort but also to help users formulate their search intent. Most prior QAC models focus on ranking completions on the basis of query log, whether considered on a whole or split into sessions based on time. However, a great amount of queries are issued to accomplish complex search tasks which straddle several sessions, and no previous work investigates QAC problem in this scenario. To tackle this challenge, we propose a supervised framework for QAC personalization, where three levels of task-related factors are considered separately and synthetically, including history-level, session-level, and query-level. Experimental results on a real-world search log confirm that our learning to rank model significantly outperforms the competitive baselines and enables a more comprehensive understanding of users' search history.

关键词： Task analysis History Search engines Context modeling Search problems Predictive models

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