Identification of Hammerstein-Wiener systems with state-space subsystems based on the improved PSO and GSA algorithm
From MaRDI portal
Publication:6612068
DOI10.1007/s00034-022-02268-0zbMath1546.93134MaRDI QIDQ6612068
Guo-Ping Lu, Junhong Li, Tiancheng Zong
Publication date: 30 September 2024
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
system identificationgravitational search algorithmparticle swarm optimizationHammerstein-Wiener systemslinear state-space subsystem
System identification (93B30) Nonlinear systems in control theory (93C10) Delay control/observation systems (93C43)
Cites Work
- The recursive least squares identification algorithm for a class of Wiener nonlinear systems
- Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition
- A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
- State space model identification of multirate processes with time-delay using the expectation maximization
- Identification of Hammerstein-Wiener models
- Fractional order neural networks for system identification
- One-shot set-membership identification of generalized Hammerstein-Wiener systems
- Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle
- Identification of affinely parameterized state-space models with unknown inputs
- Parameter identification and uncertainty quantification in stochastic state space models and its application to texture analysis
- A recursive identification algorithm for Wiener nonlinear systems with linear state-space subsystem
- Manifold learning for efficient gravitational search algorithm
- Identification of Hammerstein–Wiener models with hysteresis front nonlinearities
- The innovation algorithms for multivariable state‐space models
- Recursive identification for multi-input–multi-output Hammerstein–Wiener system
- Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling
This page was built for publication: Identification of Hammerstein-Wiener systems with state-space subsystems based on the improved PSO and GSA algorithm