A stability criterion for discrete-time fractional-order echo state network and its application
DOI10.1007/S00500-020-05489-0zbMath1498.93016OpenAlexW3118373153MaRDI QIDQ2099908
Zhanjun Huang, Xianshuang Yao, Zhan-Shan Wang
Publication date: 21 November 2022
Published in: Soft Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00500-020-05489-0
time-series predictionLMI approachdiscrete-time Lyapunov functionsufficient stability criterionfractional-order echo state network
Discrete-time control/observation systems (93C55) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (1)
Cites Work
- Unnamed Item
- Design of observers for a class of discrete-time uncertain nonlinear systems with time delay
- Robust control of a class of uncertain nonlinear systems
- Recent applications of fractional calculus to science and engineering
- Manifestations of the Schur complement
- Dynamic stability analysis of fractional order leaky integrator echo state neural networks
- Delay independent robust stability analysis of delayed fractional quaternion-valued leaky integrator echo state neural networks with QUAD condition
- Optimization and applications of echo state networks with leaky- integrator neurons
- Automatic speech recognition using a predictive echo state network classifier
- Learning grammatical structure with Echo State Networks
- A decentralized training algorithm for echo state networks in distributed big data applications
- Fractional Partial Differential Equations and Their Numerical Solutions
- Mathematical Methods in Engineering
This page was built for publication: A stability criterion for discrete-time fractional-order echo state network and its application
