Jinhu Lv

Practical Fixed-Time Control of Switched Neutral Filippov Systems on Networks

Fanchao Kong, Pingping Meng, Shuaibing Zhu, Jinhu Lv

In this article, the practical fixed-time (FxT) control of switched neutral Filippov systems (SNFSs) on networks is considered. The perturbation functions that can be discontinuous, and the neutral logics expressed by the difference operators, are addressed by new approaches. Several novel Lyapunov …

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Adaptive controllable architecture of analog Ising machine

Langyu Li, Ruoyu Wu, Yong Wang, Guofeng Zhang et autres

As a quantum-inspired, non-traditional analog solver architecture, the analog Ising machine (AIM) has emerged as a distinctive computational paradigm to address the rapidly growing demand for computational power. However, the mathematical understanding of its principles, as well as the optimization of its …

Adaptive controllable architecture of analog Ising machine

Langyu Li, Ruoyu Wu, Yong Wang, Guofeng Zhang et autres

As a quantum-inspired, non-traditional analog solver architecture, the analog Ising machine (AIM) has emerged as a distinctive computational paradigm to address the rapidly growing demand for computational power. However, the mathematical understanding of its principles, as well as the optimization of its …

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Meanshift Shape Formation Control Using Discrete Mass Distribution

Yichen Cai, Yi-Tian Gao, Pei Li, Wei Wang et autres

This document is an extended version of our journal paper "Meanshift Shape Formation Control Using Discrete Mass Distribution" (IEEE Transactions on Industrial Electronics).

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Meanshift Shape Formation Control Using Discrete Mass Distribution

Yichen Cai, Yuan Gao, Pengpeng Li, Wei J. Wang et autres

The density-distribution method has recently become a promising paradigm owing to its adaptability to variations in swarm size. However, existing studies face practical challenges in achieving complex shape representation and decentralized implementation. This motivates us to develop a fully decentralized, distribution-based control …

Meanshift Shape Formation Control Using Discrete Mass Distribution

Yichen Cai, Yuan Gao, Pengpeng Li, Wei J. Wang et autres

The density-distribution method has recently become a promising paradigm owing to its adaptability to variations in swarm size. However, existing studies face practical challenges in achieving complex shape representation and decentralized implementation. This motivates us to develop a fully decentralized, distribution-based control …

Distributed Optimal Formation Tracking for Heterogeneous Open Swarm Systems With Dynamic Identities: Theory and Experiment

Lingfei Su, Rongqi Zhang, Peixuan Shu, Yongzhao Hua et autres

This article addresses discrete-time optimal formation tracking problems in heterogeneous open swarm systems, where members may join, leave or rejoin dynamically, and the total population is neither fixed nor known a priori. The system is vulnerable to time-varying cyber attacks that can …

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Two-Stage Observer-Based Fault Detection and Isolation for Re-Entrant Manufacturing Systems

Hao Sun, Qing Gao, Steven X. Ding, Jianbin Qiu et autres

This article investigates the fault detection and isolation (FDI) problem for a class of re-entrant manufacturing systems (RMSs) subject to workstation faults, sensor faults, and measurement disturbances. The system dynamics are first characterized by a hybrid hyperbolic partial differential equation (HHPDE) continuum …

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Regulation-triggered batch identifier-based adaptive control for nonlinear systems with unknown control coefficients

Jiajun Shen, Wei Wang, Xiangkai Wu, Jinhu Lv et autres

This paper focuses on regulation-triggered batch identifier (RTBI)-based adaptive control for nonlinear systems with unknown control coefficients. The linear regression equation (LRE) is constructed to quantitatively collect historical excitation information. The batch identifier is established to update the parameter estimates by sufficiently …

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Cooperative pinning game strategy against an attacking missile: Theory and experiment

Heng Li, Qing Wang, Jianglong Yu, Haiyin Piao et autres

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Trajectory-Based Region of Attraction Estimation on Higher-Order Networked Nonlinear Systems

Jin Zhou, Haoran Liu, Shuaibing Zhu, Jun-an Lu et autres

This letter presents a theoretical framework for estimating the trajectory-based region of attraction in nonlinear higher-order networks. A Lyapunov-based criterion is established for time-varying systems to determine the domain in which all trajectories converge to a reference trajectory. The result is expressed …

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Generating Multiscroll Chaotic Attractors from Nonautonomous Systems

Jinhu Lv, Xin Jennifer Chen, Guanrong Chen

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