Outputs (92)

Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model (2022)
Journal Article

Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator base... Read More about Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model.

Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints (2022)
Journal Article

A new fixed-time adaptive neural network control strategy is designed for pure-feedback non-affine nonlinear systems with state constraints according to the feedback signal of the error system. Based on the adaptive backstepping technology, the Lyapu... Read More about Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints.

Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems (2022)
Journal Article

In order to extract efficient power generation, a wind turbine (WT) system requires an accurate maximum power point tracking (MPPT) technique. Therefore, a novel robust variable-step perturb-and-observe (RVS-P&O) algorithm was developed for the machi... Read More about Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems.

A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation (2022)
Journal Article

This study proposes a U-control–based Composite Nonlinear Feedback (U-CNF) design procedure. This U-CNF control establishes a double feedback loop framework for generalisation and simplification in designing the CNF control systems. Two controllers,... Read More about A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation.

Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems (2021)
Journal Article

U-model, which is a control-oriented model set with the property of generally facilitate nonlinearity dynamic inversion/cancellation, has been introduced to the Disturbance Observer-Based control (DOBC) methods to improve the performance of the nonli... Read More about Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems.

Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms (2021)
Journal Article

In this study, a multi-direction-based gradient iterative (GI) algorithm for Hammerstein systems with irregular sampling data is proposed. The algorithm updates the parameter estimates using several orthogonal directions at each iteration. The conver... Read More about Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms.

Complete model-free sliding mode control (CMFSMC) (2021)
Journal Article

This study presents a complete model-free sliding mode control (CMFSMC) framework for the control of continuous-time non-affine nonlinear dynamic systems with unknown models. The novelty lies in the introduction of two equalities to assign the deriva... Read More about Complete model-free sliding mode control (CMFSMC).

Identification and U-control of a state-space system with time-delay (2021)
Journal Article

This article presents a state-space model with time-delay to map the relationship between known input-output data for discrete systems. For the given input-output data, a model identification algorithm combining parameter estimation and state estimat... Read More about Identification and U-control of a state-space system with time-delay.

Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique (2021)
Journal Article

A robust standard gradient descent (SGD) algorithm for ARX models using the Aitken acceleration method is developed. Considering that the SGD algorithm has slow convergence rates and is sensitive to the step size, a robust and accelerative SGD (RA-SG... Read More about Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique.

U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems (2021)
Journal Article

This paper proposes a U-Model-Based Two-Degree-of-Freedom Internal Model Control (UTDF-IMC) structure with strength in nonlinear dynamic inversion, and separation of tracking design and robustness design. This approach can effectively accommodate mod... Read More about U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems.