A novel dynamic nonlinear partial least squares based on the cascade structure
From MaRDI portal
Publication:6085143
DOI10.1002/rnc.5988zbMath1527.93176OpenAlexW4205837791MaRDI QIDQ6085143
No author found.
Publication date: 2 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5988
Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Parameter estimation with scarce measurements
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise
- Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems
- A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process
- Combined state and parameter estimation for a bilinear state space system with moving average noise
- Recursive parameter identification of the dynamical models for bilinear state space systems
- Combined state and least squares parameter estimation algorithms for dynamic systems
- An innovative fractional order LMS algorithm for power signal parameter estimation
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- Recursive identification of bilinear time-delay systems through the redundant rule
- Normalized fractional adaptive methods for nonlinear control autoregressive systems
- Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints
- A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
- Analytical redundancy and the design of robust failure detection systems
- Performance analysis of estimation algorithms of nonstationary ARMA processes
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
- Adaptive parameter estimation for a general dynamical system with unknown states
- Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
- Robust economic model predictive control of nonlinear networked control systems with communication delays
- Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
- Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps
- Hierarchical parameter and state estimation for bilinear systems
- Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
- Highly computationally efficient state filter based on the delta operator
- State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window
- Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
- Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
This page was built for publication: A novel dynamic nonlinear partial least squares based on the cascade structure