Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems

DOI10.1002/oca.2813OpenAlexW3208109723MaRDI QIDQ6053700

Unnamed Author, Haibo Liu, Jun-Wei Wang

Publication date: 23 October 2023

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2813

zbMATH Keywords

parameter estimationnonlinear systemmaximum likelihoodgradient searchmulti-innovation identification

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (1)

Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models

Cites Work

• Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
• An efficient hierarchical identification method for general dual-rate sampled-data systems
• Parameter estimation with scarce measurements
• Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise
• Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
• Combined state and parameter estimation for a bilinear state space system with moving average noise
• Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems
• Recursive parameter identification of the dynamical models for bilinear state space systems
• Maximum likelihood identification of stable linear dynamical systems
• Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory
• The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise
• Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
• 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
• Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
• The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise
• A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
• State and parameter estimation in solenoid nonlinear equations
• 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
• Parameter estimation for block‐oriented nonlinear systems using the key term separation
• Robust economic model predictive control of nonlinear networked control systems with communication delays
• LMI‐based cooperative distributed model predictive control for Lipschitz nonlinear systems
• 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
• Optimizing the performance of the feedback controller for state‐based switching bilinear systems
• Reachable set estimation for uncertain nonlinear systems with time delay
• Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
• 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
• The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle
• Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
• 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
• Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics
• Robust identification for fault detection in the presence of non-Gaussian noises: application to hydraulic servo drives

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