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Analysis and Design of Time-Delay Impulsive Systems Subject to Actuator Saturation

IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 196-204页

作者： Chenhong Zhu Xiuping Han Xiaodi Li IEEE the School of Mathematics and Statistics Shandong Normal UniversityJi'nan 250014China the Center for Control and Engineering Computation Shandong Normal UniversityJi'nan 250014China

This paper investigates the exponential stability and performance analysis of nonlinear time-delay impulsive systems subject to actuator saturation. When continuous dynamics is unstable, under some conditions, it is shown that the system can be stabilized by a class of saturated delayed-impulses regardless of the length of input delays. Conversely, when the system is originally stable, it is shown that under some conditions, the system is robust with respect to sufficient small delayed-impulses. Moreover, the design problem of the controller with the goal of obtaining a maximized estimate of the domain of attraction is formulated via a convex optimization problem. Three examples are provided to demonstrate the validity of the main results.

关键词： Delayed impulses impulsive control impulsive disturbance nonlinear systems saturation

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Impulsive Consensus of MASs With Input Saturation and DoS Attacks

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 414-424页

作者： Xuyang Wang Dengxiu Yu Xiaodi Li the Unmanned System Research Institute Northwestern Polytechnical University IEEE the School of Artificial Intelligence Optics and Electronics Northwestern Polytechnical University the School of Mathematics and Statistics Shandong Normal University the Center for Control and Engineering Computation Shandong Normal University

This paper investigates the secure impulsive consensus of Lipschitz-type nonlinear multi-agent systems(MASs) with input saturation. According to the coupling of input saturation and denial of service(DoS) attacks, impulsive control for MASs becomes extremely challenging. Considering general DoS attacks,this paper provides the sufficient conditions for the almost sure consensus of the MASs with input saturation, where the error system can achieve almost sure local exponential *** linear matrix inequalities(LMIs), the relation between the trajectory boundary and DoS attacks is characterized, and the trajectory boundary is estimated. Furthermore, an optimization method of the domain of attraction is proposed to maximize the size. And a non-conservative and practical boundary is proposed to characterize the effect of DoS attacks on MASs. Finally, considering a multi-agent system with typical Chua's circuit dynamic model, an example is provided to illustrate the theorems' correctness.

关键词： Almost sure consensus denial of service (DoS) attacks impulsive control input saturation

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Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees 38

Learning Neural Contracting Dynamics: Extended Linearization...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Jaffe, Sean Davydov, Alexander Lapsekili, Deniz Singh, Ambuj K. Bullo, Francesco Center for Control Dynamical Systems and Computation University of California Santa Barbara United States Department of Computer Science University of California Santa Barbara United States

Global stability and robustness guarantees in learned dynamical systems are essential to ensure well-behavedness of the systems in the face of uncertainty. We present Extended Linearized Contracting Dynamics (ELCD), the first neural network-based dynamical system with global contractivity guarantees in arbitrary metrics. The key feature of ELCD is a parametrization of the extended linearization of the nonlinear vector field. In its most basic form, ELCD is guaranteed to be (i) globally exponentially stable, (ii) equilibrium contracting, and (iii) globally contracting with respect to some metric. To allow for contraction with respect to more general metrics in the data space, we train diffeomorphisms between the data space and a latent space and enforce contractivity in the latent space, which ensures global contractivity in the data space. We demonstrate the performance of ELCD on the high dimensional LASA, multi-link pendulum, and Rosenbrock datasets. © 2024 Neural information processing systems foundation. All rights reserved.

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Comparative Study of Parametric Disturbances Effect on Cart-Inverted Pendulum System Stabilization 1

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International Conference on Modern Electronics Devices and Communication Systems, MEDCOM 2021

作者： Verma, Neelam Valluru, Sudarshan K. Department of Electrical Engineering Center for Control of Dynamical Systems and Computation Delhi Technological University Delhi India

ISBN: (数字)9789811963834

ISBN: (纸本)9789811963827

The main motivation behind the present work was to validate the impact of pendulum mass, cart mass, and length of pendulum on stabilization and swing-up of cart-inverted pendulum. Inverted pendulum system is a classic benchmark example of underactuated electro-mechanical systems, where the degree of freedom is less than the number of inputs available. PID controller was designed for a set of parameter values of the system. MATLAB simulation was carried out for different values of pendulum mass (0.2–0.25 kg), pendulum length (0.3–0.34 m), and cart mass (2.3–2.45 kg). The performance of considered cart- inverted pendulum system is demonstrated with simulation results for a different set of results, and a comparative analysis was made to comment on their effects on swing-up and stabilization. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Stabilization

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Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks

Inference of Infrastructure Network Flows via Physics-Inspir...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Seccamonte, Francesco Singh, Ambuj K. Bullo, Francesco University of California Center for Control Dynamical Systems and Computation Santa Barbara United States University of California Department of Computer Science Santa Barbara United States

ISBN: (纸本)9798350335446

We study the problem of inferring edge flows and nodal injections in infrastructure networks. Leveraging the Thomson's Principle from the electric circuits literature, we setup a framework to jointly learn network parameters and missing states. Despite being application agnostic, the proposed approach captures the fundamental physics of the infrastructure, and is able to handle partial observation, node and edge features as well as operational constraints. The physics inspired learning framework leads to a bilevel optimization problem, which is NP hard in general. By exploiting convexity properties, we reformulate the problem as a single level optimization, composed of a graph neural network and an additional implicit layer. The resulting architecture can be trained using standard gradient-based methods. We assess the validity of the proposed approach on two different infrastructure networks (power and traffic), and show it outperforms the current state of the art. © 2023 IEEE.

关键词： Graph neural networks

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An image segmentation method of pulverized coal for particle size analysis

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International Journal of Mining Science and Technology 2023年第9期33卷 1181-1192页

作者： Xin Li Shiyin Li Liang Dong Shuxian Su Xiaojuan Hu Zhaolin Lu Affiliated Hospital of China University of Mining and Technology Xuzhou 221002China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China School of Chemical Engineering&Technology China University of Mining and TechnologyXuzhou 221116China Advanced Analysis and Computation Center China University of Mining and TechnologyXuzhou 221116China

An important index to evaluate the process efficiency of coal preparation is the mineral liberation degree of pulverized coal,which is greatly influenced by the particle size and shape distribution acquired by image ***,the agglomeration effect of fine powders and the edge effect of granular images caused by scanning electron microscopy greatly affect the precision of particle image *** this study,we propose a novel image segmentation method derived from mask regional convolutional neural network based on deep learning for recognizing fine coal ***,an atrous convolution is introduced into our network to learn the image feature of multi-sized powders,which can reduce the missing segmentation of small-sized agglomerated ***,a new mask loss function combing focal loss and dice coefficient is used to overcome the false segmentation caused by the edge *** final comparative experimental results show that our method achieves the best results of 94.43%and 91.44%on AP50 and AP75 respectively among the comparison *** addition,in order to provide an effective method for particle size analysis of coal particles,we study the particle size distribution of coal powders based on the proposed image segmentation method and obtain a good curve relationship between cumulative mass fraction and particle size.

关键词： Pulverized coal Image segmentation Deep learning Particle size analysis

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The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory control

arXiv

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arXiv 2025年

作者： John, Yohan Shah, Vade Preiss, James A. Alizadeh, Mahnoosh Marden, Jason R. Center for Control Dynamical Systems and Computation The University of California Santa BarbaraCA United States

What is the performance cost of using simple, decoupled control policies in inherently coupled systems? Motivated by industrial refrigeration systems, where centralized compressors exhibit economies of scale yet traditional control employs decoupled room-by-room temperature regulation, we address this question through the lens of multi-location inventory control. Here, a planner manages multiple inventories to meet stochastic demand while minimizing costs that are coupled through nonlinear ordering functions reflecting economies of scale. Our main contributions are: (i) a surprising equivalence result showing that optimal stationary base-stock levels for individual locations remain unchanged despite the coupling when restricting attention to decoupled strategies;(ii) tight performance bounds for simple decoupled policies relative to optimal coupled policies, revealing that the worst-case ratio depends primarily on the degree of nonlinearity in the cost function and scales with the number of locations for systems with fixed costs;and (iii) analysis of practical online algorithms that achieve competitive performance without solving complex dynamic programs. Numerical simulations demonstrate that while decoupled policies significantly outperform their worst-case guarantees in typical scenarios, they still exhibit meaningful suboptimality compared to fully coordinated strategies. These results provide actionable guidance for system operators navigating the trade-off between control complexity and operational efficiency in coupled systems. © 2025, CC BY.

关键词： Stochastic systems

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Integration of Fault-Tolerant Design and Fault-Tolerant control of Automated Guided Vehicles 21st

Integration of Fault-Tolerant Design and Fault-Tolerant Cont...

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21st Polish control Conference, PCC 2023

作者： Stetter, Ralf Witczak, Marcin Germany and Steinbeis Transfer Center Automotive Systems Ravensburg Germany Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora65-246 Poland

ISBN: (纸本)9783031351693

Both fault-tolerant design (FTD) and fault-tolerant control (FTC) are receiving increasing attention from the scientific community. Both intend to develop and implement solutions for accommodating faults which are inevitable in complex technical systems. However, up to no, little scientific activity was aimed at integrating those two promising approaches. This paper describes a detailed investigation of common aspects and interfaces between FTD and FTC as well as a sensible combined process. This investigation was based on the development of automated guided vehicles (AGVs) together with the appropriate control and diagnosis algorithms and systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Fault tolerance

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High energy storage performance in AgNbO_(3) relaxor ferroelectric films induced by nanopillar structure

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Journal of Materials Science & Technology 2023年第24期155卷 160-166页

作者： Xiang Li Jing Wang Xingyuan San Ning Wang Lei Zhao Key Laboratory of High-precision Computation and Application of Quantum Field Theory of Hebei Province College Physics Science and Technology Hebei University Baoding 071002 China State Key Laboratory of Mechanics and Control of Mechanical Structures College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Huangpu Hydrogen Energy Innovation Center School of Chemistry and Chemical Engineering Guangzhou University Guangzhou 510006 China

Inspired by the increasing demand for energy-storage capacitors in electrical and electronic systems, dielectrics with high energy-storage performance have attracted more and more attention. AgNbO_(3) -based lead-free ceramics serve as one of the most promising environmental-friendly candidates. However, their energy storage optimization is seriously limited by the low breakdown strength. Fortunately, thin film as a form of AgNbO3 materials can effectively improve the breakdown strength. In this work, AgNbO_(3)film with ∼550 nm in thickness was deposited on SrRuO_(3 )/(001)SrTiO_(3) using pulsed laser deposition. The AgNbO_(3) film reveals typical relaxor ferroelectric hysteresis loops due to the new nanopillar structure, which contributes to high breakdown strength of up to 1200 kV cm^(-1) . Benefiting from the high breakdown strength, a recoverable energy storage density of 10.3 J cm^(-3) and an energy efficiency of 72.2% are obtained in the AgNbO_(3) film, which demonstrates the promising prospect of AgNbO_(3) film for energy storage applications.

关键词： AgNbO3 film Relaxor ferroelectrics Energy storage performance Nanopillar structure

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Maneuvering control of Autonomous Underwater Vehicle (AUV) by Simulated Annealing and Moth Flame Optimization Tuned controllers

Maneuvering Control of Autonomous Underwater Vehicle (AUV) b...

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2022 International Conference on Electronic Systems and Intelligent Computing, ICESIC 2022

作者： Valluru, Sudarshan K. Thareia, Hitesh Center for Control of Dynamical Systems and Computation Dept. of Electrical Engineering Delhi Technological University Delhi110042 India

ISBN: (纸本)9781665483858

This paper emphasizes maneuvering control of Autonomous Underwater Vehicle (AUV) with the help of Linear-Proportional Integral Derivative (L-PID) and Fractional Order PID (FOPID) controllers. The values of the gain parameters of L-PID (Kp, Ki, Kd) and FOPID (Kp, Ki, Kd,λ, μ) are tuned by Simulated Annealing (SA) and Moth Flame optimization (MFO) techniques. The performance of both the controllers is compared and the better algorithm to tune the parameters of the controllers is determined. A step function is applied to the system's input to test the AUV, and the corresponding response to the input function is examined. The transient parameters of the AUV, such as rise time, settling time, overshoot, and performance index IT AE were calculated and compared. The investigatory results show that both the algorithms used to tune the FO PID controller accurately steer the AUV. Also, the MFO tuned FOPID controller is more efficient than the SA tuned FOPID controller. © 2022 IEEE.

关键词： Simulated annealing

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