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25th IEEE/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Paneque, J. L. Martinez-de Dios, J. R. Ollero, A. Univ Seville Robot Vis & Control Grp Seville Spain

ISBN: (纸本)9781538680940

There is a high demand in advanced fault detection methods suitable for sensor networks monitoring complex dynamic systems such as industrial plants or large infrastructure units. This paper proposes a robust and efficient decentralized sensor fault detection method with in-place sensor self-recalibration capability that extracts and uses complex context information referred to the full monitored process. The method includes three main components, all decentralized and sharing the same statistical framework: 1) a consensus-based modeling step based on decentralized RANSAC;2) a statistical analysis based on Bayesian networks and Hidden Markov Models in which each sensor identifies inconsistencies with the consensus model and determines if it is correctly calibrated, uncalibrated or faulty and;3) a final step in which each uncalibrated sensor self-recalibrates using the consensus model. The proposed method is efficient in the use of computational and communicational resources, it is scalable and robust against outliers, transmission errors, sensor failures and network topology changes. It has been extensively validated in an experimental industrial setting.

关键词： Robot sensing systems Hidden Markov models Computational modeling Monitoring Temperature measurement Bayes methods Analytical models

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Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning control

Eager and Memory-Based Non-Parametric Stochastic Search Meth...

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IEEE international conference on Robotics and Automation (ICRA)

作者： Barbaros, Victor van Hoof, Herke Abdolmaleki, Abbas Meger, David McGill Univ Sch Comp Sci Montreal PQ Canada Univ Aveiro Aveiro Portugal

ISBN: (纸本)9781538630815

Direct policy search has shown to be a successful method to optimize robot controller parameters. However, defining a good parametric form for the controller can be challenging for complex problems. Non-parametric methods provide a flexible alternative and are thus a promising tool in robot skill learning. In this paper, we investigate two non-parametric methods based on similar principles but utilizing differing computing schedules: an eager learner and a memory-based learner. We compare the methods experimentally on two different control problems. Furthermore, we define and evaluate a new 'hybrid' controller that combines the strong points of both of these methods.

关键词： Stochastic processes Robots Search methods Task analysis Entropy Computational modeling Kernel"

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Optimal Load Scheduling for Industrial Load - Analysis for a Generalized Industrial Load Model

Optimal Load Scheduling for Industrial Load - Analysis for a...

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international conference on Power systems (ICPS)

作者： Madhusudan Kumar Mala De Dept. of Electrical Engineering NIT Patn Patna India

ISBN: (数字)9781728141039

ISBN: (纸本)9781728141046

The purpose of Demand Response (DR) is to guarantee that the smart grid runs in an efficient and stable way by letting the consumers participate in the grid operation. Numerous studies of DR modeling and analysis are implemented for consumers in the residential and commercial sector, while the studies on DR in industrial sector are relatively immature. In this work, optimal load control for industrial sector is investigated, which involves several new and distinct research problems. For example, while most of residential loads operate independently, industrial units are highly interdependent and must follow certain operational sequences. A generalized industrial load model is proposed here which can be utilized for implementing different types of industries by some simple modification in the model. An integrated framework is designed to find the optimal load schedule for any industry. This framework will help the industrial user in DSM to reduce their expenditure on electrical energy usage and also will give optimal scheduling of the units corresponding to different utility pricing schemes.

关键词： Load modeling Industries Mathematical model Load flow control Pricing Smart grids Manufacturing

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A Genetic Algorithm Based Motor controller System Automatic Layout Method

A Genetic Algorithm Based Motor Controller System Automatic ...

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international conference on Power Electronics (ICPE)

作者： Han Cao Puqi Ning Xuhui Wen Tianshu Yuan Key Laboratory of Power Electronics and Electric Drive Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728116129

In this paper, a genetic algorithm based automatic motor controller system layout design and optimization method is proposed for EV application. The modeling procedure including 3-D position and physical characteristic interpretation is described. The simplified purpose of optimization is to find a trade-off between volume and electrical performance of motor controller. Compared with the Pareto Front generated by enumeration method, the presented method can find the optimum solution with a higher speed. The proposed method can be easily extended to a complex system and can provide new approaches for motor controller system design.

关键词： Solid modeling Layout Asia Wires Optimization methods control systems Reliability engineering

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Verification and online updating of decision making control logic for onboard real-time control systems 22

Verification and online updating of decision making control ...

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22nd international conference on Knowledge-Based and Intelligent Information and Engineering systems (KES)

作者： Tyugashev, Andrey Zheleznov, Dmitrii Samara State Transport Univ 2V Svobody St Samara 443066 Russia

The errors during the decision making process in the control system of a modern complex technical system such as a ship, a plane, a spaceship or a power station can lead to unacceptable consequences. Meanwhile, decision making is based on so-named control logic described in dedicated specification documents and then implemented by the hardware and software in the real time mode. There are some problems in this process, caused by contradictions and incompletenesses in the specification documents written in natural language, and misunderstanding between specialists in onboard systems, operational engineers, and programmers. In this paper, two practical examples of verification and online updating of spacecraft control logic are described. The approaches we used allow avoiding the mentioned problems. The theoretical basis for verification is Real-Time control Algorithms Logic RTCAL. Using this, we have developed and successfully applied software tools and domain-specific languages used at the design and operational stages of spacecraft control. The ongoing work includes introducing SMT solvers into our approach, and automatic generation of valid control logic. (C) 2018 The Authors. Published by Elsevier Ltd.

关键词： control logicreal-time control algorithm complex technical system flight control software intelligent control

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X all-Russian conference with international participation "Fuel combustion: Theory, experiment, applications"

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Journal of Physics: conference Series 2019年第1期1261卷

X All-Russian conference with international participation 'Fuel combustion: theory, experiment, applications' This conference was firstly organized in the 70s of the XX century. In recent decades, the conference has been held regularly every three years and it is a unique scientific event in Russia that attracts a lot of attention of Russian and foreign scientists and specialists in the field of energy, chemistry and mechanics of reacting media. The present conference covers the following topics: • Theory and numerical modeling of combustion • Heat and mass transfer in combustion systems • Combustion kinetics, catalysts • Combustion in gas-liquid media • Combustion of solid fuel • Combustion in near-and supersonic flows, detonation • Thermoacoustic instability and vibrational combustion • Combustion processes control • Combustion diagnostic methods and instruments • Advanced technologies of fuel combustion • Deep coal processing, including gasification • Combustion of unconventional fuels • Issues of creating engines of a new generation • Environmental problems of burning fuels • Fire spreads • Economic issues of fuel power engineering The Scientific Committee appreciates the enormous work of the editorial board and reviewers in the preparation of this volume. We would like to express our sincere thanks to all authors for their research contributions, and also to organizers of the conference for their valuable spadework.

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Containment control of fully heterogeneous linear multi-agent systems with switching topologies 15

Containment control of fully heterogeneous linear multi-agen...

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15th international conference on control, Automation, Robotics and Vision (ICARCV)

作者： Hua, Yongzhao Dong, Xiwang Yu, Jianglong Li, Qingdong Ren, Zhang Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9781538695821

This paper studies the containment control problems for fully heterogeneous multi-agent systems (HMASs) with switching topologies, where both the leaders and the followers have different dynamics. Firstly, a distributed observer is constructed for each follower to estimate the states of all the non-identical leaders using the neighboring interaction. Then, based on the estimated states of the multiple leaders, an output containment control protocol is proposed for HMASs using the output regulation strategy, where several predefined weights are applied for the followers to specify the desired convex combinations of the leaders. Thus, the given containment format is independent of the interaction topology. In light of the common Lyapunov stability and output regulation theory, it is proved that the desired output containment can be realized by fully HMASs under the influences of switching topologies. Finally, a simulation example is provided to verify the effectiveness of the theoretical results.

关键词： Multi agent systems

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Adaptive control for Building Energy Management Using Reinforcement Learning 19

Adaptive Control for Building Energy Management Using Reinfo...

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19th IEEE international conference on Industrial Technologies (ICIT)

作者： Eller, Lukas Siafara, Lydia C. Sauter, Thilo TU Wien Inst Comp Technol Vienna Austria Danube Univ Krems Ctr Integrated Sensor Syst Wr Neustadt Austria

ISBN: (纸本)9781509059492

Efficient energy management of building operation shall consider the individual and time variant characteristics of the building and its systems to maximize the potential energy savings without compromising the comfort level of occupants. Model-free control approaches, such as Reinforcement Learning, process building operation data to find control actions to operate the building systems while integrating seamlessly into their decisions changes in the building dynamics. These methods, however, do not scale well to complex problems due to the curse of dimensionality, which limits their practical applicability. To address the state explosion problem we propose a Reinforcement Learning controller for a two zone building model that gets state approximation inputs from an Artificial Neural Network. The results show that the system is able to maintain comfort levels while achieving significant energy gains by finding untapped potential for energy performance improvements.

关键词： Building Automation systems Adaptive control Reinforcement Learning Artificial Neural Networks

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Some problems Analysis of Observability and Observable Degree for complex Stochastic systems 3

Some Problems Analysis of Observability and Observable Degre...

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3rd IEEE international conference on Advanced Robotics and Mechatronics (ICARM)

作者： He, Meiguang Ge, Quanbo Liu, Weifeng Hangzhou Dianzi Univ Sch Automat Inst Syst Sci & Control Engn Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781538670668

Observability can be used to reflect the possibility of state estimation, and controllability constitutes the theoretical basis of modern control theory based on state space description. The observability analysis only outputs qualitative binary value results, so the concept of observable degree is proposed to quantitatively characterize observability, making observability and observable degree a unified organic whole. Constrained by the limitation of the times established by theory, the traditional observability theory can only deal with deterministic systems, and the research on the observable degree analysis theory based on the observability judgment matrix also progresses slowly. In view of the above problems, this paper aiming at the research of observable degree analysis theory based on observability judgment matrix, it reviews the observability judgment theory of traditional deterministic systems, and a method of observable degree calculation based on observability Grammian matrix is introduced. Analyzing the limitations and shortcomings of its existence. Then, based on time-varying systems, nonlinear systems and stochastic systems as objects, and on the basis of summarizing the research on the observability and observable degree of the corresponding systems, the difficulty and challenge of the above system observability theory and observable degree analysis method are elaborated in detail, so as to provide guidance and suggestions for the research of observability judgment theory and observable degree analysis theory for complex systems.

关键词： time-varying systems stochastic system nonlinear random system observability observable degree

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An IOT based Mechanism for Automatic Classroom Electricity Saving

An IOT based Mechanism for Automatic Classroom Electricity S...

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international conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

作者： Kaustav Mani Pathak Priyanka Jain Swati Yadav Veena Mittal Prateek Jain Department of Computer Science & Engineering Manav Rachna International Institute of Research & Studies Faridabad Haryana India

ISBN: (纸本)9781728102122

Human have been communicating with each other for ages in order to solve problems and do complex work but with the advancement of technology, IoT or Internet of Things promises a great future for the communication between machines that can be implemented to perform many tasks that can benefit the human community. Many problems whether small or big can be solved with the help of IoT. One such problems is saving electricity, which is one of the major responsibilities of everyone yet very few people could actually do so be it carelessness or lack of time. This paper aims to solve the problem of electricity wastage in school and college classrooms by using an automatic electricity control system for a room made by applying IoT sensors and microcontrollers.

关键词： Internet of Things Microcontrollers Temperature sensors Sensor systems Fans

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