Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
From MaRDI portal
Publication:5028635
DOI10.1080/00207721.2020.1871107zbMath1483.93637OpenAlexW3121613980MaRDI QIDQ5028635
Quanmin Zhu, Feng Ding, Ling Xu
Publication date: 10 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1871107
Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
Related Items (31)
Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory ⋮ Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy ⋮ Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems ⋮ Accelerated identification algorithms for rational models based on the vector transformation ⋮ Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion ⋮ Instrumental variable‐based multi‐innovation gradient estimation for nonlinear systems with scarce measurements ⋮ Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive systems ⋮ Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory ⋮ Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle ⋮ Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor ⋮ Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise ⋮ Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector ⋮ A novel dynamic nonlinear partial least squares based on the cascade structure ⋮ Generalized continuous mixed p‐norm based sliding window algorithm for a bilinear system with impulsive noise ⋮ Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data ⋮ Separable synthesis gradient estimation methods and convergence analysis for multivariable systems ⋮ The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises ⋮ Time-delay Hammerstein system identification using modified cross-correlation method and variable stacking length multi-error algorithm ⋮ Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems ⋮ An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems ⋮ Parameter estimation for a class of time‐varying systems with the invariant matrix ⋮ Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm ⋮ Identification of dual‐rate sampled nonlinear systems based on the cycle reservoir with regular jumps network ⋮ Time‐delay and parameter estimation for an ARX model based on copula theory and Armijo criterion and their applications in the modeling of the dynamics of the UAV ⋮ Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries ⋮ System identification of Hammerstein models by using backward shift algorithm ⋮ Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics ⋮ Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition ⋮ Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise ⋮ Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems ⋮ Semirecursive nonparametric algorithms for Hammerstein systems with stochastic autocorrelated input
Cites Work
- The transient impulse response modeling method for non-parametric system identification
- The quest for the right kernel in Bayesian impulse response identification: the use of OBFs
- Laguerre domain identification of continuous linear time-delay systems from impulse response data
- On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses
- Frequency-shifting-based stable on-line algebraic parameter identification of linear systems
- The hierarchical iterative identification algorithm for multi-input-output-error systems with autoregressive noise
- Accuracy analysis for distributed weighted least-squares estimation in finite steps and loopy networks
- Ranking the importance of variables in nonlinear system identification
- Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory
- Synchronization of bidirectional \(N\)-coupled fractional-order chaotic systems with ring connection based on antisymmetric structure
- Piecewise reproducing kernel-based symmetric collocation approach for linear stationary singularly perturbed problems
- A new kernel functions based approach for solving 1-D interface problems
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- Modeling and identification of uncertain-input systems
- Hierarchical multistage Gaussian signaling games in noncooperative communication and control systems
- Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
- Leading impulse response identification via the elastic net criterion
- Hierarchical estimation of parameters in Bayesian networks
- Weighted parameter estimation for Hammerstein nonlinear ARX systems
- Hierarchical Fusion Estimation for Clustered Asynchronous Sensor Networks
- Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks
- State and fault estimation of sandwich systems with hysteresis
- Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
- Hierarchical-Structure-Based Fault Estimation and Fault-Tolerant Control for Multiagent Systems
- Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
This page was built for publication: Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses