A Robust Controller Design Method Based on Parameter Variation Rate of RBF-ARX Model
As an extension of the exponential autoregressive model and radial basis function (RBF) network, the RBF-ARX model has been widely used in nonlinear system modeling and control. Considering conservativeness of the previous method, which only uses the upper and lower limits of the RBF-ARX model param...
Main Authors: | Feng Zhou, Hui Peng, Ganglin Zhang, Xiaoyong Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8890793/ |
Similar Items
-
Robust Predictive Control Algorithm Based on Parameter Variation Rate Information of Functional-Coefficient ARX Model
by: Feng Zhou, et al.
Published: (2019-01-01) -
An RBF-ARX Model-Based Variable-Gain Feedback RMPC Algorithm
by: Feng Zhou, et al.
Published: (2020-01-01) -
Network robustness: Implication, formulization and exploitation
by: WenJun Zhang
Published: (2016-12-01) -
Derivation of Robust Stability Ranges for Disconnected Region with Multiple Parameters
by: Tadasuke Matsuda
Published: (2017-01-01) -
Robust Efficiency Conditions in Multiple-Objective Fractional Variational Control Problems
by: Ritu, et al.
Published: (2022-12-01)