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239 results on '"Sun, Shaoxin"'

2. Leader-Follower Formation Control of Non-holonomic Robots with Collision Avoidance by Using Artificial Potential Field

Author

Yang, Rui, Sun, Shaoxin, Ma, Tiedong, Su, Xiaojie, Li, Yayong, Xu, Lijun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Wang, Qing, editor, Dong, Xiwang, editor, and Song, Peng, editor

Published
2024
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10. Introduction

Author

Sun, Shaoxin, Zhang, Huaguang, Su, Xiaojie, Zhu, Jinyu, Shen, Dong, Series Editor, Sun, Shaoxin, Zhang, Huaguang, Su, Xiaojie, and Zhu, Jinyu

Published
2023
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11. Conclusion and Prospects

Author

Sun, Shaoxin, Zhang, Huaguang, Su, Xiaojie, Zhu, Jinyu, Shen, Dong, Series Editor, Sun, Shaoxin, Zhang, Huaguang, Su, Xiaojie, and Zhu, Jinyu

Published
2023
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40. Distributed extended state observer‐based fault‐tolerant control for nonlinear multi‐agent systems with switching topologies.

Author

Hua, Xingxing, Dai, Xin, Sun, Shaoxin, and Sun, Yue

Subjects
FAULT-tolerant control systems, MULTIAGENT systems, ADAPTIVE fuzzy control, NONLINEAR systems, WIRELESS power transmission, FAULT-tolerant computing, TOPOLOGY
Abstract

In this paper, a novel fault‐tolerant control scheme is designed and analyzed for multi‐agent systems (MASs) with incipient faults, disturbances, parameter uncertainties, time delay, and nonlinear terms, and the proposed MAS with switching communication topologies. Firstly, the proposed distributed extended state observer estimates the incipient fault and system states in follower agents, which extends the incipient fault vector to a new system state. Meanwhile, the designed observer considers the output errors of itself and other agents. Further, a state estimation feedback‐based fault‐tolerant controller is constructed, composed of a delay estimator and a non‐delay estimator to guarantee the proposed MASs have good operation performance. Then, some stability analysis conclusions of the MAS with incipient faults, time delay, disturbances, parameter uncertainties, and nonlinear terms are obtained. The proposed results can also be applied to practical systems like the wireless power transfer system. Finally, two simulation results are provided to demonstrate the effectiveness of the proposed fault‐tolerant control technique. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Fixed-Time Consensus Algorithm for Heterogeneous Multiagent Systems With Switching Topology

Author

Hua, Xingxing, Dai, Xin, Sun, Shaoxin, and Sun, Yue

Abstract

Recent years have seen the applications of multiagent systems (MASs) in various engineering fields. This article proposes a fixed-time consensus control algorithm for heterogeneous MAS with switching topology. This algorithm consists of a fixed-time observer and a controller under switching communication topologies, which effectively deal with the existing nonlinearities in the MAS. In the observer design, both the output errors of its own nodes and the neighboring nodes are utilized through weight allocations, making the observer gain easier to be adjusted with a better implementation. Global stability with a fixed time convergence is proven by choosing an appropriate Lyapunov function. The proposed control algorithm is applied to a wireless power transfer grid system with simulation examples to demonstrate its applicability and efficacy.

Published
2024
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