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2024 8th International Conference on Machine Vision and Information Technology, CMVIT 2024

作者： Wang, Ningning Fan, Jun Liu, Tingrui Kang, Honglong Zhang, Wenbo Song, Shenmin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Army Aviation Institute Beijing China Beijing Institute of Astronautical Systems Engineering Beijing China

A covariance adaptive sampling offspring generation strategy (CASS) based on fuzzy clustering is proposed, and a multi-objective distribution estimation algorithm (MEDCA) based on this strategy is introduced. The GK-FCM clustering partitioning strategy is designed to build a Gaussian model for each individual, collectively approximating the manifold of the Pareto solution set and generating offspring through sampling. The introduction of an individual's survival generation adapts the individual's preference for exploration and exploitation. This is achieved by incorporating it as a scaling factor of the covariance matrix in the sampling model, in order to satisfy the individual's preferences for development and exploration in different evolutionary stages. This method significantly improves the performance of MEDCA in solving complex multi-objective optimization problems through covariance matrix adaptation sampling strategy and scaling factor adaptation strategy. The experimental results demonstrate the advantages of MEDCA in the application of offspring generation strategies during model sampling. © Published under licence by IOP Publishing Ltd.

关键词： Covariance matrix

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Data-Driven control of Distributed Event-Triggered Network Systems

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 351-364页

作者： Xin Wang Jian Sun Gang Wang Frank Allgower Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the Institute for Systems Theory and Automatic Control University of StuttgartStuttgart 70550Germany the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.

关键词： Data-driven control distributed event-triggered network system(ETS) linear matrix inequalitie(LMI) looped-functional stability

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Attitude and Orbit Optimal control of Combined Spacecraft via a Fully-Actuated System Approach

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Journal of Systems Science & Complexity 2022年第2期35卷 623-640页

作者： DUAN Guangquan LIU Guo-Ping Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhen 518055China

This paper investigates the attitude and orbit control for the combined spacecraft formed after a target spacecraft without the autonomous control ability is captured by a service *** optimal controller of fully-actuated system is proposed to realize the attitude and orbit stabilization control of combined *** stability of the system is proved by introducing Lyapunov *** simulation of the combined spacecraft and physical experiment based on the combined spacecraft simulator(CSS)are *** simulation and experiment results demonstrate the effectiveness and practicability of the optimal controller of fully-actuated system.

关键词： Attitude control combined spacecraft fully-actuated system optimal controller orbit control

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An embedding observer for nonlinear dynamical systems with global convergence

An embedding observer for nonlinear dynamical systems with g...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Gerbet, Daniel Röbenack, Klaus Institute of Control Theory Faculty of Electrical and Computer Engineering TUD Dresden University of Technology Dresden Germany

State observers for nonlinear systems are often designed for a canonical form of this system. However, this form may possess singular points, where the vector field is not defined or a Lipschitz condition is not fulfilled. This unpleasanbehavior can possibly be avoided using an embedding into a higher dimensionaspace. A construction of such an embedding and the corresponding inverse map is discussed for polynomial systems using methods from algebraic geometry. © 2023 The Authors. Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH.

关键词： Embeddings

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On functional observers for polynomial systems with nonlinear oscillations

On functional observers for polynomial systems with nonlinea...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Röbenack, Klaus Gerbet, Daniel Institute of Control Theory Faculty of Electrical and Computer Engineering TUD Dresden University of Technology Dresden Germany

In this contribution we discuss the design of functional observers for polynomial systems. Our approach is based on a high gain design employing an embedded observer. The functional to be estimated is generated from the high gain observer’s state. The restriction to polynomial systems allows the representation of the system’s and the observer’s dynamics as polynomial ideals. For the calculations we utilize methods from algebraic geometry. Our approach is illustrated on a chaotic system. © 2023 The Authors. Proceedings in Applied Mathematics and Mechanics published by Wiley-VCH GmbH.

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Early Detection of Bearing Failures Based on Temperature Trends Deviations Analysis 26

Early Detection of Bearing Failures Based on Temperature Tre...

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26th International Conference on Digital Signal Processing and its Applications, DSPA 2024

作者： Nekrasov, Ivan Kukin, Nikolay V.A. Trapeznikov Institute of Control Sciences Ras Moscow Laboratory of Schedule Theory and Discrete Optimization Russia Autonomous Non-Profit Organization 'Institute of Engineering Physics' Serpukhov Russia

ISBN: (纸本)9798350361728

In this paper, we consider a practical problem of detecting upcoming mechanical failures of bearings in industrial pumps and motors equipped with temperature sensors. Several data processing procedures and early failures detection analytics based on temperature trends analysis have been designed and tested in the field. The paper results in a Fourier Transform-based predictive diagnostic algorithm ready to be implemented for any kind of rotating equipment. © 2024 IEEE.

关键词： Failure (mechanical)

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Steady State Behavior of the Free Recall Dynamics of Working Memory

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Journal of Systems Science & Complexity 2024年第6期37卷 2424-2450页

作者： LI Tianhao LIU Zhixin LIU Lizheng HU Xiaoming Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesSchool of Mathematical SciencesUniversity of Chinese Academy of SciencesBeijing 100190China Academy for Engineering and Technology Fudan UniversityShanghai 200433China Optimization and Systems Theory KTH Royal Institute of TechnologyStockholm 10044Sweden

This paper studies a dynamical system that models the free recall dynamics of working *** model is an attractor neural network with n modules,named hypercolumns,and each module consists of m *** mild conditions on the connection weights between minicolumns,the authors investigate the long-term evolution behavior of the model,namely the existence and stability of equilibria and limit *** authors also give a critical value in which Hopf bifurcation ***,the authors give a sufficient condition under which this model has a globally asymptotically stable equilibrium consisting of synchronized minicolumn states in each hypercolumn,which implies that in this case recalling is *** simulations are provided to illustrate the proposed theoretical ***,a numerical example the authors give suggests that patterns can be stored in not only equilibria and limit cycles,but also strange attractors(or chaos).

关键词： Asymptotic stability bifurcation free recall strange attractor working memory

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Path-Complete Barrier Functions for Safety of Switched Linear Systems 63

Path-Complete Barrier Functions for Safety of Switched Linea...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Anand, Mahathi Jungers, Raphael Zamani, Majid Allgower, Frank Institute for Systems Theory and Automatic Control University of Stuttgart Germany Université Catholique de Louvain Department of Mathematical Engineering Belgium University of Colorado Boulder United States

ISBN: (纸本)9798350316339

In this paper, we address the safety verification problem of switched linear dynamical systems under arbitrary switching via barrier functions. Our approach is based on a notion of path-complete barrier functions, which utilizes a collection of barrier functions associated with a directed labeled graph that can encode all the possible switching sequences. We show that path-complete barrier functions effectively generalize notions of common and multiple barrier functions studied in existing literature, and can potentially provide less conservative conditions for safety verification. We demonstrate that, for switched linear systems, the inequalities imposed via path-complete barrier functions can be easily encoded into simple linear matrix inequalities under some assumptions on the regions of interest and appropriately chosen templates for the barrier functions. We also study the relationship between path-complete barrier functions and common barrier functions, and show that for any path-complete graph with an admissible path-complete barrier function, one can derive a suitable (possibly non-smooth) common barrier function by utilizing the path-complete barrier function. Finally, we utilize several examples to illustrate the effectiveness of our approach, and briefly discuss the challenges that lay foundations for future research. © 2024 IEEE.

关键词： Directed graphs

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Extremum Seeking for Single-Variable Static Map with Measurement Noise via A Time-Delay Approach 13

Extremum Seeking for Single-Variable Static Map with Measure...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Zhao, Bowen Yang, Xuefei Fridman, Emilia Zhou, Bin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Electrical Engineering Tel-Aviv University Israel

ISBN: (纸本)9798350315196

In this article, we introduce a time-delay approach to extremum seeking (ES) for scalar static quadratic maps with measurement noise. The approach involves transforming the ES system into a time-delay neutral type system with stochastic perturbations, which guarantees the stability of the original ES system. Using a Lyapunov-Krasovskii (L-K) method, explicit conditions are established for the mean-square ultimate boundedness of the ES control systems. These conditions are expressed in terms of LMIs and depend on the intensity of measurement noise, tuning parameters, and a known arbitrarily large constant L that bounds the 6th moment of the estimation error. Compared to existing results for ES with measurement noise obtained via qualitative analysis, our approach provides a quantitative analysis via a time-delay approach to averaging. A numerical example is provided to illustrate the efficiency of the proposed method. © 2023 IEEE.

关键词： Time delay

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Robust Divergence Learning for Missing-Modality Segmentation

Robust Divergence Learning for Missing-Modality Segmentation

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2024 China Automation Congress, CAC 2024

作者： Cheng, Runze Sun, Zhongao Zhang, Ye Li, Chun MSU-BIT-SMBU Joint Research Center of Applied Mathematics Shenzhen MSU-BIT University Shenzhen518172 China Institute of Control Theory and Control Engineering School of Automation Beijing Institute of Technology Beijing100081 China School of Mathematics and Statistics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798350368604

Multimodal Magnetic Resonance Imaging (MRI) provides essential complementary information for analyzing brain tumor subregions. While methods using four common MRI modalities for automatic segmentation have shown success, they often face challenges with missing modalities due to image quality issues, inconsistent protocols, allergic reactions, or cost factors. Thus, developing a segmentation paradigm that handles missing modalities is clinically valuable. A novel single-modality parallel processing network framework based on Hölder divergence and mutual information is introduced. Each modality is independently input into a shared network backbone for parallel processing, preserving unique information. Additionally, a dynamic sharing framework is introduced that adjusts network parameters based on modality availability. A Hölder divergence and mutual information-based loss functions are used for evaluating discrepancies between predictions and labels. Extensive testing on the BraTS 2018 and BraTS 2020 datasets demonstrates that our method outperforms existing techniques in handling missing modalities and validates each component’s effectiveness. © 2024 IEEE.

关键词： Magnetic resonance imaging

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