Shuyi Xiao

ORCID: 0000-0003-0315-5369
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Fault Detection and Control Systems
  • Neural Networks Stability and Synchronization
  • Adaptive Dynamic Programming Control
  • Advanced Control Systems Optimization
  • Mineral Processing and Grinding
  • Smart Grid Security and Resilience
  • Machine Learning and ELM
  • Land Use and Ecosystem Services
  • Flood Risk Assessment and Management
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Modular Robots and Swarm Intelligence
  • Fuzzy Logic and Control Systems
  • Energy Load and Power Forecasting
  • Information and Cyber Security
  • Energy and Environment Impacts
  • Rock Mechanics and Modeling
  • Drilling and Well Engineering
  • Energy Efficient Wireless Sensor Networks
  • Hydrological Forecasting Using AI
  • Solar Radiation and Photovoltaics
  • Hydrology and Watershed Management Studies
  • Sustainability and Ecological Systems Analysis
  • Water Quality Monitoring Technologies

Taiyuan University of Technology
2022-2025

State Key Laboratory of Synthetical Automation for Process Industries
2018-2023

Northeastern University
2018-2023

Shandong University of Science and Technology
2016

This article is concerned with the problem of distributed adaptive fuzzy fault-tolerant containment control (FTCC) for a class heterogeneous nonlinear multiagent systems actuator faults and external disturbances. Two FTCC strategies are proposed two different cases, i.e., leader's input can be obtained by its neighboring follower agents leader not available any followers, respectively. In first case, observer-based protocol presented to achieve objective. second method which independent...

10.1109/tsmc.2020.3002944 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2020-07-13

In this article, the problem of distributed hierarchical fault-tolerant containment control for heterogeneous linear multiagent systems (MASs) is investigated. most existing methods MASs with system failures, each agent broadcasts its state, or output, estimation state to neighbors. Once an subjected faults affect dynamics other agents over network, that is, influence on will propagate network. order overcome drawback, a protocol developed, which includes two layers: 1) upper layer and 2)...

10.1109/tcyb.2020.2988092 article EN IEEE Transactions on Cybernetics 2020-05-21

This paper investigates the distributed fault-tolerant containment control (FTCC) problem of nonlinear multi-agent systems (MASs) under a directed network topology. The proposed framework which is independent on global information about communication topology consists two layers. Different from most existing (FTC) protocols where fault in one agent may propagate over network, developed method can eliminate phenomenon propagation. Based hierarchical strategy, FTCC with graph be simplified to...

10.1109/jas.2021.1003928 article EN IEEE/CAA Journal of Automatica Sinica 2021-03-10

This paper addresses the problem of robust adaptive fault-tolerant tracking control for a class linear systems with parameter uncertainty, external disturbance, and actuator faults including loss effectiveness, outage, stuck. According to online estimation information provided by mechanism, compensation controller is constructed closed-loop reference model systems. Compared existing results, introducing closed loop which provides additional degree-of-freedom, transient performance can be...

10.1109/tsmc.2018.2876125 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-11-06

This paper investigates modular design problems of reliable distributed bipartite consensus for multi-agent systems (MASs) by using virtual tracking techniques. Virtual reference (VRSs) are introduced at first. The lower-level controller designed is to remove the influence actuator faults and input disturbances, such that each one in MASs tracks corresponding VRS. And then, observer-based upper-level with online adaptive adjustment gain further put forward achieve VRS's consensus. Different...

10.1080/23307706.2025.2451947 article EN Journal of Control and Decision 2025-01-16

10.1080/00207721.2025.2480745 article EN International Journal of Systems Science 2025-03-20

In this article, the cooperative fuzzy hierarchical fault-tolerant containment control (FTCC) method is proposed for nonlinear multiagent systems (MASs) over switching directed topologies. Based on mechanism, problem of FTCC MASs under topologies decoupled into virtual reference system (upper layer) and tracking actual (lower layer). Due to existence topologies, state may jump, which further affects transient performance lower system; moreover, actuator faults also cause a sudden change in...

10.1109/tsmc.2021.3125772 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2021-11-22

Summary In this paper, the problem of robust adaptive fault‐tolerant tracking control with time‐varying performance bounds is investigated for a class linear systems subject to parameter uncertainties, external disturbances and actuator failures. order ensure norm error less than user‐defined bounds, we propose new strategy which predicated on generalized restricted potential function. Compared existing result, novel method provides two design freedoms developed reduce error. According...

10.1002/rnc.4404 article EN International Journal of Robust and Nonlinear Control 2018-11-13

In this paper, the distributed fault-tolerant tracking control (FTTC) problems for uncertain homogeneous and heterogeneous multi-agent systems (MASs) under asynchronous sampled communications are investigated. case of communications, each agent is at its own sampling instants exchanges information to neighbor agents. presence actuator failures, different system dynamics, it difficult accomplish task control. To overcome difficulty, two novel observer-based FTTC protocols MASs proposed....

10.1109/tnse.2022.3154085 article EN IEEE Transactions on Network Science and Engineering 2022-02-24

Abstract This article investigates the issue of cooperative fault‐tolerant fuzzy tracking control for a class nonlinear multiagent systems subject to actuator failures and external disturbances under directed network topology. By introducing hierarchical scheme, fully distributed method is proposed. Specifically, framework includes upper layer lower layer. The consists virtual system controller. an actual Compared with most existing methods where fault in one agent may cause chain reaction,...

10.1002/rnc.5314 article EN International Journal of Robust and Nonlinear Control 2020-11-17

In this paper, a robust adaptive fault tolerant controller guaranteeing with time-varying performance bounds is designed for class of time delay uncertain nonlinear systems subject to actuator failures and external disturbance. The influence on the system mitigated can be guaranteed by introducing positive control gain function generalised restricted potential function. A new method more design degrees freedom developed ensure norm state within a-priori, user-defined varying bounds. Using...

10.1080/00207721.2019.1647307 article EN International Journal of Systems Science 2019-08-05

Summary This paper investigates the problem of output feedback adaptive compensation tracking control for linear systems subject to external disturbances and actuator failures including loss effectiveness faults bias faults. The impact on transient performance can be mitigated predicated closed‐loop reference model with an additional degrees design freedom. Using estimation information provided by mechanism, fault‐tolerant strategy is developed track systems. It shown that all signals...

10.1002/acs.3069 article EN International Journal of Adaptive Control and Signal Processing 2019-11-07

Society is more and interested in developing mathematical models to assess forecast the environmental biological health conditions of our planet. However, most existing cannot determine long-range impacts potential policies without considering complex global factors their cross effects systems. In this paper, Markov property Neural Network Ensemble (NNE) are utilized construct an estimated matrix that combines interaction different local factors. With such estimation matrix, we could obtain...

10.3390/app6060175 article EN cc-by Applied Sciences 2016-06-15
Coming Soon ...