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IEEE International Conference on control in Technical systems (CTS)

作者： Hoang Thi Thu Giang Phan Thanh Chung Tran Thuy Van Nguyen Duy Khanh Faculty of Electrical Engineering HaNoi University of Industry Hanoi Vietnam Department for Standards Metrology and Quality Military Institute of Mechanical Engineering Hanoi Vietnam Department of Automatic Control Systems Saint Petersburg Electrotechnical University “LETI” Saint Petersburg Russia

To overcome the disadvantages that traditional controllers bring, in this study, it is proposed to use fractional order controller $\mathrm{PI}^{\lambda}$ instead of conventional PI controller, the research also focuses on improving the quality of the controller. the order controller itself by selecting the computational methods, the discretization methods, and the implementation methods that give the best results. The study conducted simulations and experiments and compared the results with conventional PI controllers, in order to demonstrate the effectiveness of the fractional order controller.

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On the conceptualization of total disturbance and its profound implications

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Science China(Information Sciences) 2020年第2期63卷 221-223页

作者： Sen CHEN Wenyan BAI Yu HU Yi HUANG Zhiqiang GAO Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Aerospace Automatic Control Institute Center for Advanced Control Technologies Department of Electrical Engineering and Computer ScienceCleveland State University

Dear editor,How to deal with uncertainties and/or disturbances is a central issue pushing the development of both control science and control technology. Among various approaches, the active disturbance rejection control (ADRC) has been successfully implemented in various industrial practices because of its uniqueness in concepts, simplicity

关键词： ESO On the conceptualization of total disturbance and its profound implications

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Higher-order tensor methods for minimizing difference of convex functions

arXiv

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arXiv 2024年

作者： Necoara, Ion Automatic Control and Systems Engineering Department National University of Science and Technology Politehnica Bucharest Spl. Independentei 313 Bucharest060042 Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics The Romanian Academy Bucharest050711 Romania

Higher-order tensor methods were recently proposed for minimizing smooth convex and nonconvex functions. Higher-order algorithms accelerate the convergence of the classical first-order methods thanks to the higher-order derivatives used in the updates. The purpose of this paper is twofold. Firstly, to show that the higher-order algorithmic framework can be generalized and successfully applied to (nonsmooth) difference of convex functions, namely, those that can be expressed as the difference of two smooth convex functions and a possibly nonsmooth convex one. We also provide examples when the subproblem can be solved efficiently, even globally. Secondly, to derive a complete convergence analysis for our higher-order difference of convex functions (HO-DC) algorithm. In particular, we prove that any limit point of the HO-DC iterative sequence is a critical point of the problem under consideration, the corresponding objective value is monotonically decreasing and the minimum value of the norms of its subgradients converges globally to zero at a sublinear rate. The sublinear or linear convergence rates of the iterations are obtained under the Kurdyka-Lojasiewicz property. © 2024, CC BY.

关键词： Iterative methods

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A Weighted Collaborative Prediction Method of RUL for Integrated Circuits in Multi-Failure Modes Based on Transformer

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IFAC-PapersOnLine 2023年第2期56卷 7632-7637页

作者： Zibo Zhang Long Jia Xinyu Zou Chang Chen Wei Chen Chunyun Lan Jian Ma Institution of Reliability Engineering Beihang University Beijing 100191 China Science & Technology on Reliability & Environmental Engineering Laboratory Beijing 100191 China School of Reliability and Systems Engineering Beihang University Beijing 10091 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Beijing Aerospace Institute of Automatic Control 100854 Beijing China

Accurately predicting the Remaining Useful Life (RUL) of integrated circuits in multi-failure modes is critical for ensuring the safe and efficient operation of electronic devices. In this paper, we propose a novel RUL prediction method that combines a locally weighted regression method, a Transformer deep neural network, and a multi-failure modes weighted collaborative prediction approach. We first use a locally weighted regression method to eliminate noise from the original feature time series. Then, the feature time series is input into the proposed classification model to classify the failure modes and establish the failure mode weighted function. Finally, the feature time series is fed into the proposed regression model for RUL prediction with weighted processing to obtain accurate RUL predictions. Our experimental results demonstrate that our method effectively captures the degradation information of integrated circuits and generates precise RUL predictions. We demonstrate the efficacy of our method on a circuit stimulation model, showing that it outperforms several state-of-the-art RUL prediction methods. Our proposed method has the potential to enhance the reliability and safety of electronic devices in various applications.

关键词： Integrated circuits RUL prediction multi-failure modes locally weighted regression method Transformer deep neural network weighted collaborative prediction

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Awakened at CheckThat! 2022: Fake News Detection using BiLSTM and Sentence Transformer

Awakened at CheckThat! 2022: Fake News Detection using BiLST...

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2022 Conference and Labs of the Evaluation Forum, CLEF 2022

作者： Truică, Ciprian-Octavian Apostol, Elena-Simona Paschke, Adrian Department of Information Technology Uppsala University Lägerhyddsvägen 1 Uppsala75105 Sweden Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Splaiul Independentei 313 Bucharest060042 Romania Fraunhofer Institute for Open Communication Systems Berlin10589 Germany

In recent years, online social networks and online news venues have become some of the main news and event-related information spreading mediums. Although using these mediums has facilitated the speed of accessing information, it also created a new phenomenon used for propaganda and disinformation: fake news. As fake news has detrimental consequences to society, new technologies need to be developed in order to stop their harmful effects. In this paper, we propose two Bidirectional Long Short-Term Memory (BiLSTM) architectures with sentence transformers to solve two tasks: (1) a multi-class mono-lingual fake news detection task (i.e., mono-lingual task);and (2) a multi-class cross-lingual fake news detection task (i.e., cross-lingual task). For the mono-lingual task, we train and test a BiLSTM with BART sentence transformers model on an English dataset and obtain an accuracy of ∼ 0.53 and an F1-Score of ∼ 0.32. For the cross-lingual task, we train a BiLSTM with XLM sentence transformers model on an English dataset and test the model using transfer learning on a German dataset. For this task, we obtain an accuracy of ∼ 0.28 and an F1-Score of ∼ 0.19. © 2022 Copyright for this paper by its authors.

关键词： Statistical tests

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A Flat System Possessing no (x,u)-Flat Output

arXiv

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arXiv 2022年

作者： Gstöttner, Conrad Kolar, Bernd Schöberl, Markus Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Austria Magna Powertrain Engineering Center Steyr GmbH & Co KG St. Valentin Austria

In general, flat outputs of a nonlinear system may depend on the system’s state and input as well as on an arbitrary number of time derivatives of the latter. If a flat output which also depends on time derivatives of the input is known, one may pose the question whether there also exists a flat output which is independent of these time derivatives, i.e., an (x,u)-flat output. Until now, the question whether every flat system also possesses an (x,u)-flat output has been open. In this contribution, this conjecture is disproved by means of a counterexample. We present a two-input system which is differentially flat with a flat output depending on the state, the input and first-order time derivatives of the input, but which does not possess any (x,u)-flat output. The proof relies on the fact that every (x,u)-flat two-input system can be exactly linearized after an at most dim(x)-fold prolongation of one of its (new) inputs after a suitable input transformation has been applied. © 2022, CC BY.

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On the Exact Linearization and control of Flat Discrete-time systems

arXiv

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arXiv 2022年

作者： Kolar, Bernd Diwold, Johannes Gstöttner, Conrad Schöberl, Markus Magna Powertrain Engineering Center Steyr GmbH & Co KG St. Valentin Austria Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Austria

The paper addresses the exact linearization of flat nonlinear discrete-time systems by generalized static or dynamic feedbacks which may also depend on forward-shifts of the new input. We first investigate the question which forward-shifts of a given flat output can be chosen in principle as a new input, and subsequently how to actually introduce the new input by a suitable feedback. With respect to the choice of a feasible input, easily verifiable conditions are derived. Introducing such a new input requires a feedback which may in general depend not only on this new input itself but also on its forward-shifts. This is similar to the continuous-time case, where feedbacks which depend on time derivatives of the closed-loop input-and in particular quasi-static ones-have already been used successfully for the exact linearization of flat systems since the nineties of the last century. For systems with a flat output that does not depend on forward-shifts of the input, it is shown how to systematically construct a new input such that the total number of the corresponding forward-shifts of the flat output is minimal. Furthermore, it is shown that in this case the calculation of a linearizing feedback is particularly simple, and the subsequent design of a discrete-time flatness-based tracking control is discussed. The presented theory is illustrated by the discretized models of a wheeled mobile robot and a 3DOF helicopter. © 2022, CC BY.

关键词： Feedback linearization

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An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization*

An accelerated randomized Bregman-Kaczmarz method for strong...

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European control Conference (ECC)

作者： Lionel Tondji Dirk A. Lorenz Ion Necoara TU Braunschweig Institute of Analysis and Algebra Braunschweig Germany Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania

In this paper we propose a randomized accelerated method for the minimization of a strongly convex function under linear constraints. The method is of Kaczmarz-type, i.e. it only uses a single linear equation in each iteration. To obtain acceleration we build on the fact that the Kaczmarz method is dual to a coordinate descent method. We use a recently proposed acceleration method for the randomized coordinate descent and transfer it to the primal space. This method inherits many of the attractive features of the accelerated coordinate descent method, including its worst-case convergence rates. Theoretical analysis of the convergence of the proposed method is given. Numerical experiments show that the proposed method is more efficient and faster than the existing methods for solving the same problem

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Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis

Modified projected Gauss-Newton method for constrained nonli...

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European control Conference (ECC)

作者： Yassine Nabou Lucian Toma Ion Necoara Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest Romania Electrical Power Systems Department University Politehnica Bucharest Bucharest Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania

In this paper, we consider a modified projected Gauss-Newton method for solving constrained nonlinear least-squares problems. We assume that the functional constraints are smooth and the the other constraints are represented by a simple closed convex set. We formulate the nonlinear least-squares problem as an optimization problem using the Euclidean norm as a merit function. In our method, at each iteration we linearize the functional constraints inside the merit function at the current point and add a quadratic regularization, yielding a strongly convex subproblem that is easy to solve, whose solution is the next iterate. We present global convergence guarantees for the proposed method under mild assumptions. In particular, we prove stationary point convergence guarantees and under Kurdyka-Lojasiewicz (KL) property for the objective function we derive convergence rates depending on the KL parameter. Finally, we show the efficiency of this method on the power flow analysis problem using several IEEE bus test cases.

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A Review of RPL Based Routing Protocols in Vehicular Ad Hoc Networks (VANET)

A Review of RPL Based Routing Protocols in Vehicular Ad Hoc ...

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Mechatronic systems Supervision (IW_MSS), IEEE International Workshop on

作者： Wafa Akermi Nouha Alyaoui Awatef Benfradj Guiloufi Karim Chabir Automatic Industrial Systems Department Higher Institute of Applied Sciences and Technology Gafsa University Gafsa Tunisia Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia Computer Science and Telecommunications Department Higher Institute of Applied Sciences and Technology Gafsa University Gafsa Tunisia Preparatory Institute for Engineering Studies of Gabes Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia

In the present day, the Internet of Things is becoming more and more popular. Enabling continuous connectivity and packet routing in this kind of network is difficult because of the resource limitations that are a feature of IoT. Reduce end-to-end latency, conserve energy, and balance network load are the three basic objectives of lightweight routing protocol. In this paper, we give a quick review of the IPv6 Routing Protocol for Low-Power and Lossy Networks-based routing protocols of VANET already in use and discuss their advantages and disadvantages. More specifically, we examine a few chosen VANET routing protocols and contrast their performance based on metrics like packet delivery ratio, Throughput, End to end delay, Routing- Cost, etc.

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