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On 2-performance of weakly-hard real-time control systems

European Journal of control 2024年 80卷

作者： Seidel, Marc Lang, Simon Allgöwer, Frank University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart Germany

This paper considers control systems with failures in the feedback channel, that occasionally lead to loss of the control input signal. A useful approach for modeling such failures is to consider window-based constraints on possible loss sequences, for example that at least r control attempts in every window of s are successful. A powerful framework to model such constraints are weakly-hard real-time constraints. Various approaches for stability analysis and the synthesis of stabilizing controllers for such systems have been presented in the past. However, existing results are mostly limited to asymptotic stability and rarely consider performance measures such as the resulting 2-gain. To address this problem, we adapt a switched system description where the switching sequence is constrained by a graph that captures the loss information. We present an approach for 2-performance analysis involving linear matrix inequalities (LMI). Further, leveraging a system lifting method, we propose an LMI-based approach for synthesizing state-feedback controllers with guaranteed 2-performance. The results are illustrated by a numerical example. © 2024 The Authors

关键词： Asymptotic stability

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A game-theoretic approach for federated learning:A trade-off among privacy,accuracy and energy

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Digital Communications and Networks 2024年第2期10卷 389-403页

作者： Lihua Yin Sixin Lin Zhe Sun Ran Li Yuanyuan He Zhiqiang Hao Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China China Industrial Control Systems Cyber Emergency Response Team Beijing100040China

Benefiting from the development of Federated Learning(FL)and distributed communication systems,large-scale intelligent applications become *** devices not only provide adequate training data,but also cause privacy leakage and energy *** to optimize the energy consumption in distributed communication systems,while ensuring the privacy of users and model accuracy,has become an urgent *** this paper,we define the FL as a 3-layer architecture including users,agents and *** order to find a balance among model training accuracy,privacy-preserving effect,and energy consumption,we design the training process of FL as game *** use an extensive game tree to analyze the key elements that influence the players’decisions in the single game,and then find the incentive mechanism that meet the social norms through the repeated *** experimental results show that the Nash equilibrium we obtained satisfies the laws of reality,and the proposed incentive mechanism can also promote users to submit high-quality data in *** the multiple rounds of play,the incentive mechanism can help all players find the optimal strategies for energy,privacy,and accuracy of FL in distributed communication systems.

关键词： Federated learning Privacy preservation Energy optimization Game theory Distributed communication systems

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Actively pulse shaped hybrid rare-earth-doped silica fiber/Ho3+:YAG MOPA system at 2048 nm

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Optics Express 2025年第10期33卷 20467-20482页

作者： Rupp, Marius Lorenz, Dominik Goth, Katharina Deutsch, Johannes Schneider, Julian Romano, Clément Eichhorn, Marc Kieleck, Christelle Gutleuthausstraße 1 Ettlingen76275 Germany Institute of Control Systems Karlsruhe Institute of Technology Fritz-Haber-Weg 1 Karlsruhe76131 Germany

In this study, an efficient hybrid fiber and solid-state master oscillator power amplifier (MOPA) system is introduced. This system is composed of an actively pulse-shaped Ho3+- and Tm3+-doped silica fiber MOPA at 2048 nm. A subsequent Ho3+:YAG power amplifier stage enables the efficient scaling of the pulse energy. By utilizing a novel cascaded crystal configuration, designed with a numerical simulation model, the Ho3+:YAG stage has been optimized for operation at 2048 nm wavelength. This operation at wavelengths much shorter than the typical emission peaks around 2090 nm showcases the possibility of using Ho3+:YAG as a broadband amplification medium. With a signal input power of 24 W at the crystal stage, we achieved an output power of 81.6 W. This corresponds to a gain of 5.3 dB with a slope efficiency of 68 % with respect to the launched pump at 1908 nm. The fiber/bulk hybrid approach enabled an increase in the energy of the rectangular-shaped nanosecond pulses from an initial 0.48 mJ to 1.63 mJ at 50 kHz, surpassing the pulse scaling limitations for standard thulium-doped silica fibers. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Rare earth-doped fibers

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Reinforcement Learning control for Hypersonic Morphing Flight Vehicle with Identification of Dynamic Parameter

Reinforcement Learning Control for Hypersonic Morphing Fligh...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Nie, Ying Zhang, Yuan Bai, Wenyan Cao, Yuteng Yu, Chunmei Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789811966125

A reinforcement learning (RL) controller with identification of the dynamic parameter of hypersonic morphing flight vehicle (HMFV) is proposed in this paper, successfully realizing the end-to-end control of attack angle in the longitudinal plane. The following improvements are made in this paper: Firstly, the dynamic parameter (rudder efficiency coefficient) of the flight vehicle is added into the state vector, so that the RL controller can understand the control ability of the rudder and generates the optimal control commands in the current state. Secondly, five instead of only one consecutive attack angle deviations are used to jointly generate the state vector, which enables the RL controller to use the model state information of the previous period of time and improve the control stability. Three simulations are set up in this paper. The simulation results show that the RL controller proposed in this paper can achieve stable and high precision attack angle control under large-scale environmental deviations and has strong generalization under different guidance commands. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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Relaxed Stability Criteria for Time-Delay systems:A Novel Quadratic Function Convex Approximation Approach

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IEEE/CAA Journal of automatica Sinica 2024年第4期11卷 996-1006页

作者： Shenquan Wang Wenchengyu Ji Yulian Jiang Yanzheng Zhu Jian Sun College of Electrical and Electronic Engineering Changchun University of TechnologyChangchun 130012China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of TechnologyBeijing 100081China

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying *** introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic *** developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular ***,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre *** a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay ***,the superiority of our results is illustrated through three numerical examples.

关键词： Equivalent reciprocal combination technique quadratic function convex approximation approach stability timevarying delay

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Electrochemical determination of pollutants from various passenger car engines 27

Electrochemical determination of pollutants from various pas...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Bronczyk, Karolina Adamski, Michal Dabrowska, Agata Konieczka, Adam Dabrowski, Adam Adam Mickiewicz University Faculty of Chemistry Department of Trace Analysis Poznań Poland Poznan University of Technology Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznań Poland

ISBN: (纸本)9788362065486

This paper presents measurements of the concentrations of particulate matter (PM1, PM2.5, and PM10), carbon dioxide (CO2), total organic compounds (TVOCs), and formaldehyde as pollutants released during fuel combustion. For this purpose, a suitable measuring device containing selective electrochemical sensors was prepared. The influence of fuel type and engine speed on the amount of pollutants released into the environment, was studied. Based on the achieved results, it can be concluded that the factor influencing the amount of pollutants released is mainly the type of fuel. Gasoline-powered cars can pollute the environment in a particularly negative way. A relationship was also noted between the increase in engine speed and the concentration of released carcinogenic formaldehyde. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Electrochemical sensors

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Comparative Analysis of Wavelet Transform on fPCG Signals for Denoising and Peak Extraction

Comparative Analysis of Wavelet Transform on fPCG Signals fo...

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2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024

作者： Mhatre, Megh Narayanan, Geetha Deshpande, Anjali Biomedical Engineering Vidyalankar Instiute of Technology Mumbai India Systems and Control Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9798350379525

Fetal Phonocardiogram (fPCG) is a bio-signal obtained from recording the heart sounds from stethoscopes or auditory transducers for auscultations of FHR. Analysis of this data helps to give early diagnosis of any irregularity throughout Fetal development process. However, the analysis of this signal poses many challenges due to noise components like Motion Artifacts and Respiration of the Foetus and Mother, Uterine Contractions, Power Line Interference, Sensor Noise as well as Background Noise. Many approaches have been presented by the researchers to extract characteristic heart sound peaks from these signals to estimate the heart rate and to detect the abnormalities like arrhythmia. In this work, we present the results of application of advanced signal processing techniques such as wavelet transform with adaptive thresholding, to extract the peaks of the fPCG signal. Simulations have been performed on the set of real data from fetus as well as simulated signals available in the resources. Simulation results show that Discrete Wavelet Transform with adaptive thresholding is a better technique for denoising the signal and isolating the heartbeat peaks as compared to other studies discussed in various resources. This study also includes evaluation of various parameters employed in the processes including the verification of peaks by setting up a window of specific time to analyze the peak count within each window for consistent peak extraction results. Various combinations of wavelets with different thresholding techniques have been studied and evaluated for accuracy. © 2024 IEEE.

关键词： Mean square error

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A Practical Task Allocation Strategy Based on Parameter Adaptive Particle Swarm Optimization

A Practical Task Allocation Strategy Based on Parameter Adap...

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2023 China Automation Congress, CAC 2023

作者： Wang, Zhixiang Liu, Zhitai Zhang, Zhongjin Research Institute of Intelligent Control Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9798350303759

Aiming at the task allocation problem of multi-UAV cooperative air combat system in battlefield environment, this paper proposes a task allocation strategy based on parameter adaptive particle swarm optimization algorithm (PAPSO). Firstly, the task allocation problem of UAV is described in the actual battlefield environment, and the mathematical model of task allocation is established based on the hit cost, damage cost and task revenue. Then, the correlation analysis method is used to assess the threat of the air combat situation of both enemy and us, and the obtained comprehensive threat matrix is used to calculate the task allocation model and serve as the basis of task allocation. Finally, a PAPSO algorithm based on evolutionary game theory is designed to solve the model. In this algorithm, a new state update formula is designed for each particle to prevent the particles from falling into iteration stagnation too early, and the evolutionary stability strategy in evolutionary game theory is introduced to adaptively update the control parameters of the algorithm, which balances the global and local search capabilities of the algorithm well, and a relaxation mechanism is also designed to reduce the loss of solution diversity in the early iteration. In this paper, a comparison experiment is designed to verify the proposed task allocation strategy. The simulation results illustrate that the proposed strategy in this paper has improved the quality of solutions and convergence speed compared to traditional strategies, which verifies its effectiveness and superiority. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Neural Networks-Based Adaptive control for Linear Motors with Cogging Force Compensation 49

Neural Networks-Based Adaptive Control for Linear Motors wit...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Liu, Zhitai Zhang, Zhongjin Liu, Yanbin Li, Weinan Pan, Huihui Sun, Weichao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9798350331820

This paper proposed a neural networks-based adaptive control scheme for linear motors considering cogging force compensation. The cogging force is modeled and compensated for improving the tracking performance. An indirect parameter adaptive strategy is proposed to address the problem of parametric uncertainties. Compared with the direct adaptive strategy, this strategy can promote the parameter estimations to converge to the true values. In addition, radial basis neural networks are designed to estimate remaining system uncertainties, including unmodeled dynamics, model errors, and external disturbances. Comparative experiments are conducted on an iron-core permanent magnet linear synchronous motor platform. The experimental results show that the proposed control scheme can achieve excellent control performance. © 2023 IEEE.

关键词： Linear motors

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Multiagent Consensus over Time-Invariant and Time-Varying Signed Digraphs via Eventual Positivity

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IEEE Transactions on automatic control 2023年第9期68卷 5429-5444页

作者： Fontan, Angela Wang, Lingfei Hong, Yiguang Shi, Guodong Altafini, Claudio Linköping University Division of Automatic Control Department of Electrical Engineering LinköpingSE-58183 Sweden KTH Royal Institute of Technology Division of Decision and Control Systems StockholmSE-10044 Sweden Chinese Academy of Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China Tongji University Department of Control Science and Engineering Shanghai201804 China University of Sydney Australian Center for Field Robotics School of Aerospace Mechanical and Mechatronic Engineering SydneyNSW2008 Australia

Laplacian dynamics on signed digraphs have a richer behavior than those on nonnegative digraphs. In particular, for the so-called 'repelling' signed Laplacians, the marginal stability property (needed to achieve consensus) is not guaranteed a priori and, even when it holds, it does not automatically lead to consensus, as these signed Laplacians may lose rank even in strongly connected digraphs. Furthermore, in the time-varying case, instability can occur even when switching in a family of systems each of which corresponds to a marginally stable signed Laplacian with the correct corank. In this article, we present novel conditions for achieving consensus on signed digraphs based on the property of eventual positivity, a Perron-Frobenius (PF) type of property for signed matrices. The conditions we develop cover both time-invariant and time-varying cases. A particularly simple sufficient condition, valid in both cases, is that the Laplacians are normal matrices. Such condition can be relaxed in several ways. For instance, in the time-invariant case it is enough that the Laplacian has this PF property on the right side, but not on the left side (i.e., on the transpose). For the time-varying case, convergence to consensus can be guaranteed by the existence of a common Lyapunov function for all the signed Laplacians. All conditions can be easily extended to bipartite consensus. © 1963-2012 IEEE.

关键词： Lyapunov functions

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