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24th International Conference on control Systems and computer science, CSCS 2023

作者： Rasras, Mohammad Marin, Iuliana Radu, Serban University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Dept. of Engineering in Foreign Languages Bucharest Romania University Politehnica of Bucharest Dept. of Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

A smart home allows automated technology to control systems and appliances to assist daily life activities. In the current work, a prototype of a designed smart home health-aware system is presented. Three predefined ruled agents have been used to gather data, communicate between themselves, interpret the data based on several machine learning algorithms to predict abnormality for cardiac conditions. The paper also compares results obtained by running five machine learning algorithms. The agents function in accordance with predefined dataset describing residents ' age, gender, height, weight, systolic and diastolic blood pressure, cholesterol, and glucose levels, smoking and alcohol consumption habits, and lastly, physical activity. Our plan is to simplify ubiquitous health monitoring for smart home's residents. The proposed solution aims to monitor parametric measurements to alert health specialists in case of emergencies. © 2023 IEEE.

关键词： Multi agent systems

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Conducting Online Lab Experiments with Blockly

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IFAC-PapersOnLine 2017年第1期50卷 13474-13479页

作者： Galan, Daniel Heradio, Ruben de la Torre, Luis Dormido, Sebastian Esquembre, Francisco Dept. of Computer Science and Automatic Control Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Software Engineering and Computer Systems Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Mathematics Universidad de Murcia Campus de Espinardo MurciaE-30071 Spain

Laboratory experimentation plays an essential role in control education. To reduce the high costs of maintaining apparatus in traditional labs and to support distance and blended learning, online laboratories are used as a possible alternative to conventional hands-on labs. In these labs it is often desirable to allow students to define their own experiments. This paper presents the definition and implementation of a generic experimentation language for conducting automatic experiments on existing online laboratories. The main objective is to use an online lab, created independently, as a component in which users can perform experiments. To achieve it, authors present the Experiment Application. It is composed by Blockly, to define and design the experiments, and Google Chart, review and visualize the experiment results. This tool offers benefits to students, teachers and, even, lab designers. For the moment, it can be used with any existing lab or simulation created with the authoring tool Easy Java(script) Simulations. Since there are repositories with hundreds of free available labs created with this tool, the potential applicability of the described tool is considerable. To illustrate the utility of the Experiment Application a very well-known system is used: the Simple Harmonic Oscillator system. © 2017

关键词： computer software Experiments Research laboratories Teaching Blockly Easy java(script) Simulations Experimentation Language Javascript Remote laboratories Virtual laboratories

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Robust model predictive control of continuous-time sampled-data nonlinear systems with integral sliding mode 10

Robust model predictive control of continuous-time sampled-d...

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2009 10th European control Conference, ECC 2009

作者： Rubagotti, M. Raimondo, D.M. Ferrara, A. Magni, L. Dept. of Computer Engineering and Systems Science University of Pavia Via Ferrata 1 Pavia27100 Italy Automatic Control Laboratory Swiss Federal Institute of Technology Physikstrasse 3 Zürich8092 Switzerland

ISBN: (纸本)9783952417393

A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC one. The ISM, relying on the knowledge of the nominal continuous-time model of the system and of the piecewise constant control signal generated by the NMPC produces a control action aimed at reducing the difference between the dynamics of the nominal closed-loop system and the actual evolution of the state. The NMPC in this way can be designed based on a system with reduced uncertainty. In order to prove the stability of the overall control scheme, some general Regional ISpS results for continuous-time systems are proven. © 2009 EUCA.

关键词： Continuous time systems

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Pros and cons of horizontal axis wind turbines linear identification

Frontiers in Artificial Intelligence and Applications

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Frontiers in Artificial Intelligence and Applications 2012年 243卷 684-695页

作者： Stefanoiu, Dan Tudor, Florin Sebastian Politehnica University of Bucharest Dept. of Automatic Control and Computer Science 313 Splaiul Independentei Bucharest-060042 Romania

ISBN: (纸本)9781614991045

This article outlines some of the advantages and disadvantages of wind turbines linear identification, in case of minimal number of measuring channels. The identified turbine has horizontal axis and belongs to middle size class. Multi-variable models of linear type (Box-Jenkins (BJ) / ARMAX, state space representation) are estimated and compared in terms of fitness in time, as well as in frequency. All models are validated by data acquired from a running turbine, in conditions of variable but rather weak wind activity. Linear models do not match very well HAWTs, though some BJ models are behaving fairly. © 2012 The authors and IOS Press. All rights reserved.

关键词： Horizontal axis wind turbine

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The system reliability analysis based on the relation of fuzzy infection

The system reliability analysis based on the relation of fuz...

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5th International Conference on control and Automation, ICCA'05

作者： Sun, Chuan Wang, Yongji Zhu, Xiangou Dept. of Mechanic and Dynamic Engineering HuangShi Polytechnic College 435003 HuangShi HuBei China Dept. of Automatic Control Huazhong University of Science and Technology 430074 Wuhan HuBei China College of Computer Science and Engineering WenZhou University 325027 WenZhou ZheJiang China

ISBN: (纸本)0780391381

In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode of series connection and parallel connection system was first set up and their rationalities were proven. An illustrational example was given to demonstrate the effectiveness of this theory. © 2005 IEEE.

关键词： System stability

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A WSN based monitoring system for oil and gas transportation through pipelines

A WSN based monitoring system for oil and gas transportation...

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14th IFAC Symposium on Information control Problems in Manufacturing, INCOM'12

作者： Junie, Petru Dinu, Octav Eremia, Cristian Stefanoiu, Dan Petrescu, Catalin Savulescu, Ioan Politehnica University of Bucharest Dept. of Automatic Control and Computer Science 313 Splaiul Independentei Bucharest-060042 Romania Oil and Gas University of Ploiesti Dept. of Drilling and Extraction 39 Bucuresti Blvd. Ploiesti-100680 Romania

ISBN: (纸本)9783902661982

This article introduces some results obtained in monitoring of long pipelines employed in oil and gas transportation. A mobile unit for signals acquisition, processing, identification and diagnosis (MUSAPID), based on wireless sensors networks (WSN) technology was employed. The MUSAPID architecture was adapted to match the configuration of monitoring system, inspired by the national energy dispatcher. Thus, the system includes four hierarchical levels assigned to: the central dispatcher, the zonal dispatcher, the local dispatcher and the sensor nodes. The sensors are acquiring the flow and temperature of oil from the monitored pipeline. Sensors distribution along the pipeline is of in-line type. Nevertheless, a cross-link schema between sensor nodes is proposed, in order to increase the exploitation safety and to reduce false alarms sending. Two independent monitoring approaches based on comparison between values of sensors in pairs of successive nodes allow controlling the occurrence of rifts and leaks in the pipeline network. One of the approaches is unconventional and uses inter-correlation between the data acquired from two successive sensor nodes, as well as auto-correlation of temperature data. A simple logic to avoid sending false alarms was also implemented. © 2012 IFAC.

关键词： Sensor nodes

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A Machine Learning Approach to Classify Network Traffic 13

A Machine Learning Approach to Classify Network Traffic

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13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Jadav, Nilesh Dutta, Nitul Sarma, Hiren Kumar Deva Pricop, Emil Tanwar, Supeep Marwadi University Dept. of Computer Engineering Rajkot India Sikkim Manipal Inst. of Technology Dept. of Information Technology Majitar India Petroleum-Gas University of Ploiesti Automatic Control Comp and Elect. Dept Ploiesti Romania Nirma University Dept. of Computer Science and Eng. Ahmedabad India

ISBN: (纸本)9781665425346

There is a significant increase of cloud and networking-enabled applications, leading to an exponential growth of network traffic. Monitoring all these applications and their generated traffic is a challenging and complex task, especially in regard to anonymous networks used to access the Dark Web or darknet. Manual investigation of the network traffic to determine patterns of malicious activity is a very difficult task and the results might not be satisfactory. The usage of machine learning is the most viable approach for the classification of the traffic as normal or malign activity. This paper analyzes CIC-Darknet 2020 dataset to classify the benign and darknet traffic. Before applying any classifiers to our dataset, we have balanced it using Synthetic Minority Oversampling Technique (SMOTE). We have applied PCA to reduce dimensionality, furthermore, ensemble techniques, logistic classifiers, tree-classifiers, and Naive Bayes have been compared and evaluated thoroughly with various evaluation metrics Accuracy, Precision, Recall, F1-Score, and Mathew's Correlation Coefficient (MCC). © 2021 IEEE.

关键词： Machine learning

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Zero-Load: A Zero Touch Network based router management scheme underlying 6G-IoT ecosystems 15

Zero-Load: A Zero Touch Network based router management sche...

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15th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2023

作者： Bhattacharya, Pronaya Mukherjee, Anwesha Tanwar, Sudeep Pricop, Emil School of Eng. and Tech. Amity University Dept. of Computer Science and Engg. Kolkata India Mahishadal Raj College Dept. of Computer Science West Bengal Mahishadal India Inst. of Tech. Nirma University Dept. of Computer Science and Engg. Ahmedabad India Petroleum-Gas University of Ploiesti Automatic Control Comp. & Elect. Dept. Ploiesti Romania

ISBN: (纸本)9798350321388

The rising data volumes force significant bottlenecks on the 6G for IoT (6G-IoT) network management functions, which limits the control, flexibility, and interoperability among devices, protocols, and end applications. Solutions like software-defined networking (SDN), and network function virtualization (NFV) are proposed with 6G, but the core management operations are still manual. Thus, to automatically upscale these 6G-IoT networks at reduced cost orchestration complexity, zero-touch networks (ZTN) are proposed. ZTN in 6G-IoT allows a high degree of automation and seamless integration of services. The article proposes a scheme, Zero-Load, that integrates ZTN at the core routing functionality of the 6G-IoT applications. We present a load balancing and traffic classification scheme through the ZTN networking stack for core routers. The ZTN router configuration fabric connects applications with the core services. Further, we present a Gaussian kernel-based support vector machine (SVM) classifier at the ZTN automation layer, which classifies the normal traffic and attack traffic. The proposed work is compared for parameters like mean time to response (MTTR), and resolution latency against baseline SDN and NFV schemes. Using ZTN, an average improvement of 32.45% is obtained in MTTR, and 87.89% in resolution latency (against a query). Using the Gaussian RBF kernel, an accuracy of 0.9914 is reported. These results indicate that ZTN-based management paves the way toward a more dense and intelligent 6G-IoT network. © 2023 IEEE.

关键词： Network function virtualization

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Trust region policy optimization with optimal transport discrepancies: duality and algorithm for continuous actions 22

Trust region policy optimization with optimal transport disc...

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Proceedings of the 36th International Conference on Neural Information Processing Systems

作者： Antonio Terpin Nicolas Lanzetti Batuhan Yardim Florian Dörfler Giorgia Ramponi Automatic Control Laboratory ETH Zürich Dept. of Computer Science ETH Zürich Dept. of Computer Science ETH AI Center

ISBN: (纸本)9781713871088

Policy Optimization (PO) algorithms have been proven particularly suited to handle the high-dimensionality of real-world continuous control tasks. In this context, Trust Region Policy Optimization methods represent a popular approach to stabilize the policy updates. These usually rely on the Kullback-Leibler (KL) divergence to limit the change in the policy. The Wasserstein distance represents a natural alternative, in place of the KL divergence, to define trust regions or to regularize the objective function. However, state-of-the-art works either resort to its approximations or do not provide an algorithm for continuous state-action spaces, reducing the applicability of the method. In this paper, we explore optimal transport discrepancies (which include the Wasserstein distance) to define trust regions, and we propose a novel algorithm - Optimal Transport Trust Region Policy Optimization (OT-TRPO) - for continuous state-action spaces. We circumvent the infinite-dimensional optimization problem for PO by providing a one-dimensional dual reformulation for which strong duality holds. We then analytically derive the optimal policy update given the solution of the dual problem. This way, we bypass the computation of optimal transport costs and of optimal transport maps, which we implicitly characterize by solving the dual formulation. Finally, we provide an experimental evaluation of our approach across various control tasks. Our results show that optimal transport discrepancies can offer an advantage over state-of-the-art approaches.

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Real-time visual predictive control of manipulation systems

Real-time visual predictive control of manipulation systems

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IEEE 15th International Conference on Advanced Robotics: New Boundaries for Robotics, ICAR 2011

作者： Burlacu, Adrian Copot, Cosmin Cervera, Enric Lazar, Corneliu Dept. of Automatic Control and Applied Informatics Technical University of Iasi D. Mangeron Street no.27 700050 Iasi Romania Dept. of Computer Science and Engineering Jaume I University Campus Riu Sec 12071 Castello Spain

ISBN: (纸本)9781457711589

This paper presents the results obtained by visual predictive control laws in real-time visual servoing architectures. A key role when designing a stable image based control law is played by the visual features, and thus both points and image moments were considered and their performance revealed. A 6 d.o.f manipulator robot with an eye-in-configuration is used to design a visual servoing architecture and realtime implementation using Matlab is described. The results of different experiments for planar static objects are presented and discussed. For establishing the performance of visual predictive control laws a comparison with classical image based control laws is conducted. © 2011 IEEE.

关键词： Visual servoing

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