Composite Learning From Fractional-Order Fuzzy Echo State Network Control Using Historical Data-Reference-Cited by-同舟云学术

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Composite Learning From Fractional-Order Fuzzy Echo State Network Control Using Historical Data

Published:2024-09 Issue:5 Volume:11 Page:4564-4576
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Dong Hanlin¹^ORCID,Pan Yongping²^ORCID,Cao Jinde³^ORCID,Liu Heng¹^ORCID

Affiliation:

1. School of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning, China

2. School of Advanced Manufacturing, Sun Yat-sen University, Shenzhen, China

3. School of Mathematics, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Guangxi National Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10637788/10541085.pdf?arnumber=10541085

Reference46 articles.

1. Distributed adaptive cooperative tracking of uncertain nonlinear fractional-order multi-agent systems

2. Robust adaptive fault-tolerant consensus control for uncertain nonlinear fractional-order multi-agent systems with directed topologies

3. Command Filter-Based Adaptive Fuzzy Finite-Time Tracking Control for Uncertain Fractional-Order Nonlinear Systems

4. Observer-Based Decentralized Control for Non-Strict-Feedback Fractional-Order Nonlinear Large-Scale Systems With Unknown Dead Zones

5. Adaptive Backstepping Hybrid Fuzzy Sliding Mode Control for Uncertain Fractional-Order Nonlinear Systems Based on Finite-Time Scheme

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1. Adaptive fuzzy quantized prescribed performance synchronization of uncertain non-strict feedback chaotic systems with time-varying actuator failure;Information Sciences;2024-10

2. Observer-based composite adaptive fuzzy echo state network control of uncertain pure-feedback nonlinear systems free from backstepping;Nonlinear Dynamics;2024-09-06

3. Adaptive Neural Optimal Backstepping Control of Uncertain Fractional-Order Chaotic Circuit Systems via Reinforcement Learning;IEEE Transactions on Circuits and Systems I: Regular Papers;2024

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