Suchergebnisse - improved modified related gradient-based iterative algorithm

Modified and accelerated relaxed gradient-based iterative algorithms for the complex conjugate and transpose matrix equations.

Autoren: Huang, Zhengge Cui, Jingjing

Quelle: Numerical Algorithms; Dec2024, Vol. 97 Issue 4, p1955-2009, 55p

Schlagwörter: SYLVESTER matrix equations, MATRIX norms, COMPLEX matrices, TIME-varying systems, LINEAR systems

Modeling Dynamic Regime Shifts in Diffusion Processes: Approximate Maximum Likelihood Estimation for Two-Threshold Ornstein–Uhlenbeck Models.

Autoren: Bekesiene, Svajone Nikitin, Anatolii Nechyporuk, Serhii

Quelle: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 21, p3450, 18p

Schlagwörter: ORNSTEIN-Uhlenbeck process, PARAMETER estimation, STOCHASTIC processes, PARAMETERIZATION, DIFFUSION kinetics, STOCHASTIC models, ITERATIVE methods (Mathematics), MAXIMUM likelihood statistics

Separable Synchronous Gradient‐Based Iterative Algorithms for the Nonlinear ExpARX System.

Autoren: Gu, Ya Hou, Yuting Li, Chuanjiang et al.

Quelle: International Journal of Adaptive Control & Signal Processing; Dec2024, Vol. 38 Issue 12, p3801-3818, 18p

Schlagwörter: PIEZOELECTRIC ceramics, PARAMETER estimation, SYSTEM identification, NONLINEAR systems, COMPUTATIONAL complexity

Data Filtering-Based Maximum Likelihood Gradient-Based Iterative Algorithm for Input Nonlinear Box–Jenkins Systems with Saturation Nonlinearity.

Autoren: Fan, Yamin Liu, Ximei Li, Meihang

Quelle: Circuits, Systems & Signal Processing; Nov2024, Vol. 43 Issue 11, p6874-6910, 37p

Schlagwörter: MAXIMUM likelihood statistics, NONLINEAR systems, SYSTEM identification, PARAMETER estimation, DATA modeling

Auxiliary model maximum likelihood gradient‐based iterative identification for feedback nonlinear systems.

Autoren: Liu, Lijuan Li, Fu Ma, Junxia et al.

Quelle: Optimal Control - Applications & Methods; Sep2024, Vol. 45 Issue 5, p2346-2363, 18p

Schlagwörter: NONLINEAR systems, MOVING average process, COMPUTER simulation, ALGORITHMS, NOISE

Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle.

Autoren: Yang, Dan Liu, Yanjun Ding, Feng et al.

Quelle: Circuits, Systems & Signal Processing; Jan2024, Vol. 43 Issue 1, p124-151, 28p

Schlagwörter: PARAMETER estimation, NONLINEAR systems, NONLINEAR estimation, PARAMETER identification, CLOSED loop systems, ITERATIVE learning control

The Weighted, Relaxed Gradient-Based Iterative Algorithm for the Generalized Coupled Conjugate and Transpose Sylvester Matrix Equations.

Autoren: Wu, Xiaowen Huang, Zhengge Cui, Jingjing et al.

Quelle: Axioms (2075-1680); Nov2023, Vol. 12 Issue 11, p1062, 28p

Schlagwörter: SYLVESTER matrix equations, RELAXATION techniques, COMPLEX matrices, ALGORITHMS

Iterative algorithm to the generalized coupled Sylvester‐transpose matrix equations with application in robust and minimum norm observer design of linear systems.

Autoren: Qi, Rui Song, Caiqin

Quelle: Optimal Control - Applications & Methods; Sep2024, Vol. 45 Issue 5, p2008-2026, 19p

Schlagwörter: SYSTEMS theory, MATRIX norms, LINEAR equations, LINEAR systems, MATRIX functions

Identification of a Non‐Commensurate Fractional‐Order Nonlinear System Based on the Separation Scheme.

Autoren: Wang, Junwei Xiong, Weili Ding, Feng

Quelle: International Journal of Adaptive Control & Signal Processing; Jan2025, Vol. 39 Issue 1, p116-131, 16p

Schlagwörter: NONLINEAR systems, SYSTEM identification, COMPUTER simulation, ALGORITHMS

A Two-Stage Algorithm for the Design of Wide-Area Damping Controllers.

Autoren: de Almeida, Henrique Resende Bento, Murilo E. C.

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3575, 23p

Schlagwörter: ELECTRIC power system stability, ALGORITHMS, MODAL analysis, ELECTRIC power systems, MATHEMATICAL optimization, FREQUENCIES of oscillating systems, PHASOR measurement

Auxiliary model maximum likelihood least squares-based iterative algorithm for multivariable autoregressive output-error autoregressive moving average systems.

Autoren: Zhang, Qian Wang, Huihui Liu, Ximei

Quelle: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Mar2025, Vol. 239 Issue 3, p441-463, 23p

Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization.

Autoren: Ding, Feng Xu, Ling Zhang, Xiao et al.

Quelle: International Journal of Robust & Nonlinear Control; 1/25/2024, Vol. 34 Issue 2, p1120-1147, 28p

Schlagwörter: INFORMATION measurement, STOCHASTIC systems, PARAMETER identification, ALGORITHMS, LEAST squares, COMPUTER simulation

Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique.

Autoren: Yang, Dan Ding, Feng

Quelle: International Journal of Robust & Nonlinear Control; 9/10/2023, Vol. 33 Issue 13, p7755-7773, 19p

Schlagwörter: NONLINEAR systems, SHIFT registers, NONLINEAR equations, PARAMETER estimation, ITERATIVE learning control, NONLINEAR oscillators

An Adaptively Inexact Method for Bilevel Learning Using Primal–Dual-Style Differentiation.

Autoren: Bogensperger, Lea Ehrhardt, Matthias J. Pock, Thomas et al.

Quelle: Journal of Mathematical Imaging & Vision; Oct2025, Vol. 67 Issue 5, p1-15, 15p

A low-complexity iterative algorithm for multiuser millimeter-wave systems.

Autoren: Mulla, Mustafa Ulusoy, Ali Hakan Rizaner, Ahmet et al.

Quelle: Annals of Telecommunications; Feb2024, Vol. 79 Issue 1/2, p101-110, 10p

Decomposition‐based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise.

Autoren: Liu, Lijuan

Quelle: International Journal of Robust & Nonlinear Control; 7/25/2024, Vol. 34 Issue 11, p7265-7284, 20p

Schlagwörter: MOVING average process, EXPECTATION-maximization algorithms, PARAMETER estimation, ALGORITHMS, NOISE

A cyclic iterative approach and its modified version to solve coupled Sylvester-transposematrix equations.

Autoren: Beik, Fatemeh Panjeh Ali Salkuyeh, Davod Khojasteh

Quelle: Linear & Multilinear Algebra; 2017, Vol. 65 Issue 12, p2406-2423, 18p

Schlagwörter: SYLVESTER matrix equations, ITERATIVE methods (Mathematics), ALGORITHMS, SYMMETRIC matrices, EXISTENCE theorems

Robust Gradient Iterative Estimation Algorithm for ExpARX Models With Random Missing Outputs.

Autoren: Li, Chuanjiang Dai, Wei Gu, Ya et al.

Quelle: International Journal of Control, Automation & Systems; Jul2024, Vol. 22 Issue 7, p2293-2300, 8p

Gradient-based iterative approach for solving constrained systems of linear matrix equations.

Autoren: Shirilord, Akbar Dehghan, Mehdi

Quelle: Computational & Applied Mathematics; Jun2024, Vol. 43 Issue 4, p1-43, 43p

Schlagwörter: SYLVESTER matrix equations, LINEAR equations, LINEAR systems, NEWTON-Raphson method, RICCATI equation, SYSTEM identification, GENERALIZED estimating equations, MARKOVIAN jump linear systems

Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle.

Autoren: Liu, Lijuan Li, Fu Liu, Wei et al.

Quelle: International Journal of Robust & Nonlinear Control; Feb2025, Vol. 35 Issue 3, p1100-1116, 17p

Schlagwörter: NONLINEAR systems, LEAST squares, NONLINEAR equations, SYSTEM identification, MOVING average process