Parameter estimation for control systems based on impulse responses

L Xu, F Ding - International Journal of Control, Automation and …, 2017 - Springer
The impulse signal is an instant change signal in very short time. It is widely used in signal
processing, electronic technique, communication and system identification. This paper …

Adaptive multivariable control for multiple resource allocation of service-based systems in cloud computing

S Gong, B Yin, Z Zheng, KY Cai - IEEE Access, 2019 - ieeexplore.ieee.org
Service-based systems resource allocation in cloud computing is a key method of meeting
service requests because service request workloads and resource demands change over …

Linear Kalman filtering algorithm with noisy control input variable

W Ma, J Qiu, J Liang, B Chen - IEEE Transactions on Circuits …, 2018 - ieeexplore.ieee.org
This brief focuses on the development of a linear Kalman filtering algorithm when the control
input variable is corrupted by noises. The noisy input is considered in the derivation process …

Compensation of CT distorted secondary current waveform in online conditions

F Haghjoo, MH Pak - IEEE Transactions on Power delivery, 2015 - ieeexplore.ieee.org
Current-transformer (CT) saturation phenomenon impacts the performance of the current-
based protective relays and leads them to malfunction; so detecting and resolving such …

Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems

X Wang, F Ding - Nonlinear Dynamics, 2015 - Springer
This paper focuses on the parameter estimation problem of Box–Jenkins systems. Using the
multi-innovation identification theory, an auxiliary model-based multi-innovation generalized …

Joint estimation of states and parameters for an input nonlinear state-space system with colored noise using the filtering technique

X Wang, F Ding - Circuits, Systems, and Signal Processing, 2016 - Springer
This paper concerns the state and parameter estimation problem for an input nonlinear state-
space system with colored noise. By using the data filtering and the over-parameterization …

Bias compensation based partially coupled recursive least squares identification algorithm with forgetting factors for MIMO systems: Application to PMSMs

Z Shi, Y Wang, Z Ji - Journal of the Franklin Institute, 2016 - Elsevier
Aiming at a class of systems with multiple-input multiple-output (MIMO) output-error, this
paper proposes a novel bias compensation based partially coupled recursive least squares …

Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities

J Ma, W Xiong, F Ding, A Alsaedi, T Hayat - Journal of the Franklin Institute, 2016 - Elsevier
This paper considers the parameter estimation problem for Hammerstein systems with
saturation and preload nonlinearities. Based on the key term separation technique, the …

Filtering-Based Bias-Compensation Recursive Estimation Algorithm for an Output Error Model with Colored Noise

Z Shi, L Zhou, H Yang, X Li, M Dai - Circuits, Systems, and Signal …, 2024 - Springer
For the output error (OE) models whose outputs are contaminated by colored process noises
(ie, correlated noises), this paper derives a new form of bias compensation recursive least …

An adaptive control technique for motion synchronization by on-line estimation of a recursive least square method

SD Lee, S Jung - International Journal of Control, Automation and …, 2018 - Springer
This article presents an adaptive technique to tune controller gains for the motion
synchronization of two gimbal systems by using a recursive least square method in the real …