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2nd IEEE Conference on control Technology and Applications, CCTA 2018

作者： Sekunda, Andre Ding, Steven Kjolstad Poulsen, Niels Niemann, Henrik Department of Electrical Engineering Automation and Control Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark Dept. of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Dept. of Applied Mathematics and Computer Science Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark

ISBN: (纸本)9781538676981

Systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One such method is active fault diagnosis based on a fault signature system. This method is derived using the YJBK parametrisation, named after Youla, Jabr, Bongiorno and Kucera. It uses the derived fault signature system to determine the detectability of possible faults in the system. Deriving the fault signature system requires knowledge about the controller. This paper demonstrates the possibility of estimating the detectability of faults in the fault signature system using a gap-metric. The gap-metric has the advantage of only requiring knowledge about the plant. By using the gap-metric it is possible to estimate the detectability of faults without using information about the controller. © 2018 IEEE.

关键词： Fault detection

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Generating complex surfaces for robot milling and engraving tasks: Using images for robot task definition 21

Generating complex surfaces for robot milling and engraving ...

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21st International Conference on System Theory, control and Computing, ICSTCC 2017

作者： Daniel Anton, Florin Anton, Silvia Dept. of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania

ISBN: (纸本)9781538638422

The paper presents a software system created to allow to use a user-friendly interface in order to describe complex surfaces which a robot system will follow, with applications in robot milling or engraving. The experimental system used for testing is composed by a 6 degree of freedom IRB 140 ABB robot with tools for engraving of milling, having the PC Interface option for communication and a PC which is executing a CAD application used to define the surface needed by the robot in order to execute the desired task. The robot task is defined using STL 3D objects or images in order to obtain the trajectory of the robot depending on the surface designed in the application. This task can be accomplished using multiple methods which are described in the paper. The algorithm which generates the trajectory is presented, and the paper present also the preliminary results obtained. © 2017 IEEE.

关键词： Computer aided design

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Learning requirements for stealth attacks

arXiv

引用

arXiv 2019年

作者： Sun, Ke Esnaola, Iñaki Tulino, Antonia M. Poor, H. Vincent Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Nokia Bell Labs HolmdelNJ07733 United States Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States University degli Studi di Napoli Federico II Naples80138 Italy

The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance matrix that results in a random matrix with a Wishart distribution. The ergodic attack performance is defined as the average attack performance obtained by taking the expectation with respect to the distribution of the training data set. The impact of the training data size on the ergodic attack performance is characterized by proposing an upper bound for the performance. Simulations on the IEEE 30-Bus test system show that the proposed bound is tight in practical settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Information theory

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Path-planning in Discretized Environments with Optimized Waypoints Computation

Path-planning in Discretized Environments with Optimized Way...

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IEEE International Conference on Emerging Technologies and Factory Automation

作者： Emanuele Vitolo Cristian Mahulea Marius Kloetzer Aragón Institute for Engineering Research (I3A) University of Zaragoza Spain Dept. of Automatic Control and Applied Informatics Technical University of Iasi Romania

This paper considers the path-planning problem in discretized environments, obtained for example by a cell decomposition approach. The specification for the mobile robot can be the classical navigation problem (reach a given region by avoiding the obstacles) or a high-level specification as a Boolean and/or temporal logic formula. We propose a general methodology to compute piecewise linear trajectories consisting in a sequence of intermediate points (waypoints). The waypoints are computed by solving optimization problems whose solutions permit to optimally select the intermediate points on the common facets of traversed cells from the decomposition. The proposed solution is similar to a Model Predictive control (MPC) strategy, in each step an optimization problem is solved over a finite horizon, the first action is considered and the problem is iterated. The method developed in this paper has been implemented and integrated in Robot Motion Toolbox allowing a comparison with other methods by simulation.

关键词： Cost function Trajectory Euclidean distance Mobile robots Electronic mail

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Supporting Product Oriented Manufacturing: a Model Driven and Agent based Approach

Supporting Product Oriented Manufacturing: a Model Driven an...

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IEEE International Conference on Industrial informatics (INDIN)

作者： Mikel López Jon Martín Unai Gangoiti Aintzane Armentia Elisabet Estévez Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao (UPV/EHU) Bilbao Spain Dept. Electronic and Automatic Engineering EPS de Jaén University of Jaén Jaén Spain

Product oriented manufacturing is aligned with one of the Industry 4.0 trends consisting of integrating all production systems. This implies shifting from a traditional view of manufacturing processes focused on production line in order to reduce costs, to a more flexible and customized product manufacturing. On the other hand, Multi Agent Systems (MAS) have been proved to be a suitable way to fulfill these requirements. However, a key aspect of the use of novel technologies is to offer methodologies and tools for supporting the implementation of such systems. In this sense, this paper uses Model Driven engineering and MAS technology to propose an architecture that is able to launch and execute a manufacturing execution plan. It focuses on the information models managed by architecture agents that can be customized to particular manufacturing plants as well as on the definition of agent templates.

关键词： Manufacturing processes Tools Ontologies Systems engineering and theory Industries

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EEG Multi-Objective Feature Selection Using Temporal Extension

EEG Multi-Objective Feature Selection Using Temporal Extensi...

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IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

作者： Lavinia Ferariu Corina Cîmpanu Tiberius Dumitriu Florina Ungureanu Dept. of Automatic Control and Appplied Informatics Gheorghe Asachi Technical University of Iaşi Iaşi Romania Dept. of Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

Nowadays Electroencephalogram (EEG) devices allow the recording of signals that can be used to extract information necessary to identify different types of cognitive processes. In EEG classification, Feature Selection (FS) represents a pivotal phase, as these problems request the processing of a large amount of high-dimensional patterns. In this paper, FS has been solved by an embedded multi-objective genetic optimization procedure which evolves a population of potential solutions (subsets of features), subject to the simultaneous minimization of the misclassification ratio and number of selected attributes. Random Forests (RF) classifiers are adopted, due to their fast training and their compatibility with spread classes of very diverse patterns. The main contribution presented in this paper consists in introducing an inertial behavior to feature extraction. The available feature set is extended with features from previous time frames, and FS is performed on this extended set. In this context, the experimental analysis illustrates the impact of the temporal extension on FS. Additionally, two enhancements are proposed for the multi-objective optimization, to support an effective Pareto-ranking of the solutions in the expanded exploration search space. Thus, the number of trees in the embedded RF classifier is gradually increased, for reducing the computational load requested for the evaluation of the misclassification ratio, without impeding the exploration. Also, the preference for the minimization of misclassifications is set by introducing a dynamic objective function for describing the parsimony of the selected subset of attributes. The proposed FS is experimentally demonstrated on EEG data collected during mathematical tasks of gradual complexities.

关键词： Electroencephalography Feature extraction Radio frequency Encoding Task analysis Genetic algorithms Optimization

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Solving Lur'e equations through zeroing neural networks

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Information Sciences 2025年 718卷

作者： Yu He Xiaojuan Wang Yafei Tie Huanqi Yang Theodore E. Simos Spyridon D. Mourtas Vasilios N. Katsikis School of Computer Science and Artificial Intelligence Huanghuai University Zhumadian 463000 China Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots Henan 463000 China Henan Key Laboratory of Smart Lighting Zhumadian 46300 China Hangzhou Dianzi University School of Mechanical Engineering Er Hao Da Jie 1158 Xiasha Hangzhou 310018 China Center for Applied Mathematics and Bioinformatics Gulf University for Science and Technology West Mishref 32093 Kuwait Section of Mathematics Dept. of Civil Engineering Democritus Univ. of Thrace Xanthi 67100 Greece Department of Economics Division of Mathematics-Informatics and Statistics-Econometrics National and Kapodistrian University of Athens Sofokleous 1 Street 10559 Athens Greece Laboratory “Hybrid Methods of Modelling and Optimization in Complex Systems” Siberian Federal University Prosp. Svobodny 79 660041 Krasnoyarsk Russia

Solving Lur'e equations plays a critical role in addressing linear-quadratic optimal control (LQOC) problems, especially in cases where the control cost matrices are singular. This paper introduces, for the first time, two novel zeroing neural network (ZNN) models—ZNNLE and ZNNLE-LQOC—specifically designed to solve the Lur'e equation system and the LQOC problem, respectively. The proposed models extend the applicability of the ZNN methodology to these challenging scenarios by offering robust and efficient solutions to time-varying matrix equations. Theoretical analyses confirm the validity of both models, while numerical simulations and practical applications demonstrate their effectiveness. Moreover, a comparative study with an enhanced alternating-direction implicit (ADI) method highlights the superior performance of the ZNNLE-LQOC model in solving LQOC problems.

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The role of non-normality for control energy reduction in network controllability problems

arXiv

引用

arXiv 2018年

作者： Lindmark, Gustav Altafini, Claudio Division of Automatic Control Dept. of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

This paper investigates the problem of controlling a complex network with reduced control energy. Two centrality measures are defined, one related to the energy that a control, placed on a node, can exert on the entire network, the other related to the energy that all other nodes exert on a node. We show that by combining these two centrality measures, conflicting control energy requirements, like minimizing the average energy needed to steer the state in any direction and the energy needed for the worst direction, can be simultaneously taken into account. From an algebraic point of view, the node ranking that we obtain from the combination of our centrality measures is related to the non-normality of the adjacency matrix of the graph. Copyright © 2018, The Authors. All rights reserved.

关键词： Complex networks

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Design and implementation of new delay-efficient/configurable multiplier using FPGA 12

Design and implementation of new delay-efficient/configurabl...

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12th International Conference on Computer engineering and Systems, ICCES 2017

作者： El Atre, Soad Gamal Mohamed Alshewimy, Mahmoud A. M. Computers and Automatic Control Dept. Faculty of Engineering Tanta University Tanta Egypt

ISBN: (纸本)9781538611913

New delay-efficient configurable multiplier based on Modified Booth's Algorithm (MBA) and Wallace Tree (WT) structure for multiplying two m-bit operands - where m ranges from 8-bit to 128-bit - is introduced. WT structure has been used to reduce the number of sequential adding stages and speed improvements have been achieved. Modifying Booth's multiplier architecture at a fundamental level is an advantageous concept that sets FPGA based multiplier models apart from rigid-architecture conventional multipliers. In the context of this work, various multipliers, based on MBA and WT, have been developed with the smallest possible time delay. Comparisons have been made between the proposed multiplier implementations and those found in the literature. The comparative results show that the proposed multiplier introduces delay improvement reaches % 42.64. © 2017 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Considerations regarding security issues impact on systems availability

arXiv

引用

arXiv 2018年

作者： Pricop, Emil Mihalache, Sanda Florentina Paraschiv, Nicolae Fattahi, Jaouhar Zamfir, Florin Automatic Control Computers and Electronics Department Petroleum-Gas University of Ploiesti Ploiesti Romania Dept. of Computer Science and Software Engineering Université Laval QC Canada Automatic Control Computers and Electronics Dept. Petroleum-Gas University of Ploiesti Ploiesti Romania

control systems behavior can be analyzed taking into account a large number of parameters: Performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems availability. A fuzzy model for estimating the availability of the system based on the security level and achieved availability coefficient (depending on MTBF and MTR) is developed and described. The results of the fuzzy inference system (FIS) are presented in the last section of the paper. Copyright © 2018, The Authors. All rights reserved.

关键词： Availability

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