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SSRN 2024年

作者： Ramos, Guilherme Pequito, Sérgio Silvestre, Daniel Departamento de Informática Instituto Superior Técnico Universidade de Lisboa Portugal Instituto de Telecomunicações Lisbon1049-001 Portugal Division of Systems and Control Department of Information Technology Uppsala University Sweden Department of Electrical and Computer Engineering Faculty of Sciences and Technology NOVA University of Lisbon Portugal

Reputation-based consensus methods have gained significant attention in distributed systems to mitigate the impact of malicious agents and ensure reliable decision-making. However, privacy concerns arise when sensitive information is shared among participants. In this paper, we propose a reputation-based consensus method that incorporates resilience and differential privacy guarantees, providing a balance between preserving participants' privacy and maintaining the accuracy of the resilient consensus process. Our approach leverages the notion of differential privacy to add noise to the agents' states, ensuring that individual contributions are masked while still enabling the detection of malicious behavior. We present a detailed analysis of the privacy-accuracy trade-off and demonstrate the effectiveness of our method through simulations. The results show that our reputation-based consensus method with differential privacy guarantees offers robustness against attacks while preserving the privacy of participants, making it a promising solution for privacy-conscious resilient distributed systems. © 2024, The Authors. All rights reserved.

关键词： Decision making

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State Estimation for Asynchronously Switched Sampled-Data systems

State Estimation for Asynchronously Switched Sampled-Data Sy...

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IEEE Conference on Decision and control

作者： Sharad C. Shankar Guosong Yang João P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara CA USA Department of Electrical and Computer Engineering Rutgers University–New Brunswick Piscataway NJ USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Asynchronously switched sampled-data systems can help model power systems and vehicles that evolve in continuous-time with switching behavior and discrete time measurements. We address the problem of jointly estimating a switching signal, with uncertainty in the exact switching times, as well as the continuous states of the system. We prove stability of the standard Kalman Filter under uncertainty in the switching times, with statistical bounds relating to the sampling period. We then propose a method for estimation of switching times as well as a method for efficient joint estimation of the state and switching signal inspired by the interacting multiple-model extended-Viterbi algorithm. We validate our algorithms in simulation for a power converter and a maneuvering vehicle.

关键词： Uncertainty Heuristic algorithms Power system dynamics Switches Power system stability Filtering algorithms Sampled data systems

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Distributed Computation of Exact Average Degree and Network Size in Finite Number of Steps under Quantized Communication

arXiv

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arXiv 2022年

作者： Rikos, Apostolos I. Charalambous, Themistoklis Hadjicostis, Christoforos N. Johansson, Karl H. The Division of Decision and Control Systems KTH Royal Institute of Technology StockholmSE-100 44 Sweden The Department of Electrical and Computer Engineering University of Cyprus Nicosia1678 Cyprus

We consider the problems of computing the average degree and the size of a given network in a distributed fashion under quantized communication. We present two distributed algorithms which rely on quantized operation (i.e., nodes process and transmit quantized messages), and are able to calculate the exact solutions in a finite number of steps. Furthermore, during the operation of our algorithms, each node is able to determine in a distributed manner whether convergence has been achieved and thus terminate its operation. To the best of the authors’ knowledge these algorithms are the first to find the exact solutions under quantized communication (i.e., there is no error in the final calculation). Additionally, note that our network size calculation algorithm is the first in the literature which calculates the exact size of a network in a finite number of steps without introducing a final error. This error in other algorithms can be either due to quantization or asymptotic convergence. In our case, no error is introduced since the desired result is calculated in the form of a fraction involving a quantized numerator and a quantized denominator. Finally, we demonstrate the operation of our algorithms and their potential advantages. © 2022, CC BY.

关键词： Errors

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A Unifying Passivity-Based Framework for Pressure and Volume Flow Rate control in District Heating Networks

arXiv

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arXiv 2023年

作者： Strehle, Felix Machado, Juan E. Cucuzzella, Michele Malan, Albertus J. Scherpen, Jacquelien M.A. Hohmann, Sören Karlsruhe76131 Germany The Jan C. Willems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands The Department of Electrical Computer and Biomedical Engineering University of Pavia via Ferrata 5 Pavia27100 Italy

A fundamental precondition for the secure and efficient operation of district heating networks (DHNs) is a stable hydraulic behavior. However, the ongoing transition towards a sustainable heat supply, especially the rising integration of distributed heat sources and the increasingly meshed topologies, introduce complex and potentially destabilizing hydraulic dynamics. In this work, we propose a unifying, passivity-based framework which guarantees asymptotic stability of any forced hydraulic DHN equilibrium while allowing for meshed, time-varying topologies and different, dynamically interacting distributed heat sources. To establish the desired hydraulic equilibria, we propose decentralized, passivity-based pressure and volume flow rate controllers for the pumps and valves in the actuated DHN subsystems. In particular, we leverage the equilibrium-independent passivity (EIP) properties of the DHN subsystems, the skew-symmetric nature of their interconnections, and LaSalle's Invariance principle to assess asymptotic stability in a modular manner. The obtained results hold for the state-of-the-art as well as future DHN generations featuring, for example, multiple distributed heat sources, asymmetric pipe networks, and multiple temperature layers. We verify our findings by means of simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Asymptotic stability

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And finally, when we will honor your.. 5

And finally, when we will honor your..

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5th International Scientific Conference: History of computers and Informatics in the Former Soviet Union, Russian Federation and in the Countries of Mutual Economic Assistance Council, SoRuCom 2020

作者： Balakirev, Nikolay Moscow Aviation Institute National Research University Department of Control Systems Computer Science and Power Engineering Moscow Russia

ISBN: (纸本)9781665403184

The article tells about little-known scientists and engineers who have devoted their lives to the creation of domestic computer technology. Using the example of creating the Elbrus-KB computing complex, we demonstrate the features of the approach to implementing new ideas. The author also gives an opinion about the great potential of the ideas and capabilities of the Russian engineering school as an example of the revival of the idea of a ternary computer, which was implemented by N.P. Brusnetsov in the 60s of the last century. © 2020 IEEE.

关键词： Economics History

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Theoretical Aspects of Automatically Generated Service-Oriented Communication Between ADAS and IVI Domains

Theoretical Aspects of Automatically Generated Service-Orien...

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Duš an Kenjić Marija Antić Tihomir Anđ elić Department of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (数字)9781665483742

ISBN: (纸本)9781665483759

In the automotive software development, interface definition languages (IDLs) are often used to provide system models and enable the automatic generation of communication mechanisms between different software components. This way, the development process is facilitated leaving the implementation of the application independent from communication mechanisms. However, the utilization of heterogenous platforms and standards in the automotive industry often leads to the repeated implementation of software components with the similar functionality. Also, due to the fact that IDLs are usually built only for one domain, similar or complementary communication mechanisms need to be defined in different interface definition languages, in order to enable the cross-domain communication. Two challenges in this topic are interesting for further analysis and this paper provides the theoretical aspects for their solution. The first challenge is the implementation of proper translation between available interface definition languages following the model driven development. The second challenge is the expansion of the code generated from IDLs to achieve the cross-domain communication between ADAS and IVI in automotive.

关键词： Technological innovation Java Codes Software Service-oriented architecture Task analysis Standards

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Fault-tolerant control of semi-active suspension in case of oil leakage of magnetorheological damper

Fault-tolerant control of semi-active suspension in case of ...

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European control Conference (ECC)

作者： Hakan Basargan Filip Jeniš András Mihály Péter Gáspár Department of Control for Transportation and Vehicle Systems Budapest University of Technology and Economics Stoczek u. 2 Budapest Hungary Faculty of Mechanical Engineering Institute of Machine and Industrial Designs Brno University of Technology Technicka 2 Brnos Czech Republic Systems and Control Laboratory Institute for Computer Science and Control (SZTAKI) Eötvös Loránd Research Network (ELKH) Kende u. 13-17 Budapest Hungary

The paper presents a reconfigurable fault-tolerant control strategy for a semi-active suspension using magnetorheological (MR) damper. The aim of the control reconfiguration is to handle the adverse behaviour of the MR damper due to oil leakage induced by the wear of the suspension component. The proposed method relies on the data driven model of the MR damper, using an estimation procedure to quantify the healthiness of the damper and to estimate the performance degradation due to the oil leakage. The reconfiguration control strategy is founded on the Linear Parameter Varying (LPV) framework, where a scheduling variable is defined to represent the healthiness level of the MR damper. By the scaling of the control action through the scheduling variable, the performance degradation of the MR damper can be compensated to match the behaviour of the healthy dampers. The proposed method is demonstrated through simulations, comparing the performance of the fault-tolerant LPV control to conventional semi-active control methods

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Distributed Optimal Data Allocation in Finite Time with Efficient Communication and Transmission Stopping over Dynamic Networks

Distributed Optimal Data Allocation in Finite Time with Effi...

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IEEE Conference on Decision and control

作者： Apostolos I. Rikos Christoforos N. Hadjicostis Karl H. Johansson Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Digital Futures Stockholm Sweden Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

In this paper, we focus on the problem of data sharing over a wireless computer network (i.e., a wireless grid). Given a set of available data, we present a distributed algorithm, which operates over a dynamically changing network and allows each node to calculate the optimal allocation of data in a finite number of time steps. We show that our proposed algorithm (i) converges to the optimal solution in finite time with very high probability, and (ii) once the optimal solution is reached, each node is able to cease transmissions without needing knowledge of a global parameter such as the network diameter. Furthermore, our algorithm (i) operates exclusively with quantized values (i.e., each node processes and transmits quantized information), (ii) relies on event-driven updates, and (iii) calculates the optimal solution in the form of a quantized fraction which avoids errors due to quantization. Finally, we demonstrate the operation, performance, and potential advantages of our algorithm over random dynamic networks.

关键词： Wireless communication Knowledge engineering Quantization (signal) Heuristic algorithms Distributed databases Dynamic scheduling computer networks

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SPP-CNN: An Efficient Framework for Network Robustness Prediction

arXiv

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arXiv 2023年

作者： Wu, Chengpei Lou, Yang Wang, Lin Li, Junli Li, Xiang Chen, Guanrong The College of Computer Science Sichuan Normal University Chengdu610066 China The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China The Department of Computer Science National Yang Ming Chiao Tung University Hsinchu300 Taiwan The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201210 China The Department of Control Science and Engineering Tongji University Shanghai200240 China The Department of Electrical Engineering City University of Hong Kong Hong Kong

This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. This kind of network robustness is typically measured by the time-consuming attack simulation, which returns a sequence of values that record the remaining connectivity and controllability after a sequence of node- or edge-removal attacks. For improvement, this paper develops an efficient framework for network robustness prediction, the spatial pyramid pooling convolutional neural network (SPP-CNN). The new framework installs a spatial pyramid pooling layer between the convolutional and fully-connected layers, overcoming the common mismatch issue in the CNN-based prediction approaches and extending its generalizability. Extensive experiments are carried out by comparing SPP-CNN with three state-of-the-art robustness predictors, namely a CNN-based and two graph neural networks-based frameworks. Synthetic and real-world networks, both directed and undirected, are investigated. Experimental results demonstrate that the proposed SPP-CNN achieves better prediction performances and better generalizability to unknown datasets, with significantly lower time-consumption, than its counterparts. © 2023, CC BY.

关键词： Complex networks

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Partially Occluded Face Expression Recognition with CBAM-Based Residual Network for Teaching Scene

Partially Occluded Face Expression Recognition with CBAM-Bas...

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Chinese Automation Congress (CAC)

作者： Yanxing Bai Luefeng Chen Min Li Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration School of Automation Ministry of Education China University of Geosciences Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Computer Engineering Istinye University Sariyer/Istanbul Turkey Tokyo Institute of Technology Yokohama Japan

In this paper, a deep residual network based on convolutional block attention module (CBAM) is proposed, which is utilized for feature extraction of partially occluded face expression data. The proposed method overcomes the problem of localized occlusion face feature extraction by focusing on the regions and channels containing important information in the occluded face data through CBAM. Multi-task cascaded convolutional networks (MTCNN) are firstly utilized to localize the key regions of face emotion, and then deep emotion features are extracted by CBAM-ResNet network. The final emotion labels are generated. The effectiveness of this paper's method is verified on the RAF-DB dataset and the occluded CK+ dataset. The experimental accuracy in the RAF-DB dataset is 76.3%, which is 3.74% and 1.64% higher than the accuracy produced by the method of RGBT, and the WLS-RF, respectively. Application experiments are carried out in the real teaching scenario, which verifies the applicability of the algorithm in the real teaching scene.

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