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Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
F Ding - Journal of Computational and Applied Mathematics, 2023 - Elsevier
Least squares is an important method for solving linear fitting problems and quadratic
optimization problems. This paper explores the properties of the least squares methods and …
optimization problems. This paper explores the properties of the least squares methods and …
Attitude control of quadrotor UAVs based on adaptive sliding mode
J Pan, B Shao, J **ong, Q Zhang - International Journal of Control …, 2023 - Springer
In this paper, the attitude control of the quadrotor system under external disturbance is
studied. A novel adaptive sliding mode control (ASMC) based on the linear extended state …
studied. A novel adaptive sliding mode control (ASMC) based on the linear extended state …
Joint two‐stage multi‐innovation recursive least squares parameter and fractional‐order estimation algorithm for the fractional‐order input nonlinear output‐error …
C Hu, Y Ji, C Ma - International Journal of Adaptive Control and …, 2023 - Wiley Online Library
This paper mainly investigates the issue of parameter identification for the fractional‐order
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
Y Ji, X Jiang, L Wan - Journal of the Franklin Institute, 2020 - Elsevier
This paper considers the parameter estimation problems of two-input single-output
Hammerstein finite impulse response systems. A hierarchical least squares algorithm is …
Hammerstein finite impulse response systems. A hierarchical least squares algorithm is …
Parameter estimation for block‐oriented nonlinear systems using the key term separation
Y Ji, C Zhang, Z Kang, T Yu - International Journal of Robust …, 2020 - Wiley Online Library
This article considers the parameter estimation problems of block‐oriented nonlinear
systems. By using the key term separation, the system output is represented as a linear …
systems. By using the key term separation, the system output is represented as a linear …
Parameter estimation of fractional‐order Hammerstein state space system based on the extended Kalman filter
Y Bi, Y Ji - International Journal of Adaptive Control and Signal …, 2023 - Wiley Online Library
This paper addresses the combined estimation issues of the parameters and states for
fractional‐order Hammerstein state space systems with colored noises. An extended state …
fractional‐order Hammerstein state space systems with colored noises. An extended state …
Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Y Ji, Z Kang - International Journal of Robust and Nonlinear …, 2021 - Wiley Online Library
This article focuses on the parameter estimation for a class of nonlinear systems, that is,
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
X Zhang, F Ding, E Yang - International Journal of Adaptive …, 2019 - Wiley Online Library
This paper considers the state estimation problem of bilinear systems in the presence of
disturbances. The standard Kalman filter is recognized as the best state estimator for linear …
disturbances. The standard Kalman filter is recognized as the best state estimator for linear …
Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain …
Y Fan, X Liu - International Journal of Adaptive Control and …, 2022 - Wiley Online Library
For the parameter estimation problem of an input nonlinear controlled autoregressive
moving average system with variable‐gain nonlinearity, this article gives an analytical form …
moving average system with variable‐gain nonlinearity, this article gives an analytical form …
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Y Fan, X Liu - International Journal of Robust and Nonlinear …, 2020 - Wiley Online Library
This article focuses on the parameter estimation problem of the input nonlinear system
where an input variable‐gain nonlinear block is followed by a linear controlled …
where an input variable‐gain nonlinear block is followed by a linear controlled …