Robust indirect adaptive sliding model control for Wiener nonlinear systems
From MaRDI portal
Publication:5026731
DOI10.1080/00207721.2020.1759729zbMath1483.93324OpenAlexW3020960354MaRDI QIDQ5026731
Publication date: 8 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1759729
Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Pole and zero placement problems (93B55) Variable structure systems (93B12)
Related Items
Extended dissipativity analysis for T-S fuzzy systems based on reliable memory control and aperiodic sampled-data method, Prescribed performance controller with affine equivalent model for a class of unknown nonlinear discrete-time systems
Cites Work
- Unnamed Item
- An instrumental least squares support vector machine for nonlinear system identification
- Block-oriented nonlinear system identification
- The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
- Adaptive control of Wiener type nonlinear systems
- Discrete-time extremum-seeking for Wiener-Hammerstein plants
- Self-tuning control based on generalized minimum variance criterion for auto-regressive models
- Identification of Wiener systems with binary-valued output observations
- Adaptive sliding mode control for discrete-time multi-input multi-output systems
- Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models
- Performance of an Adaptive Controller for the Neuromuscular Blockade Based on Inversion of a Wiener Model
- Self-tuning minimum variance control of linear systems followed by saturation nonlinearities in a noisy frame
- A robust adaptive control method for Wiener nonlinear systems
- Adaptive control of a Wiener type system: application of a pH Neutralization reactor
- An indirect stochastic adaptive scheme with on-line choice of weighting polynomials
- Constructing NARMAX models using ARMAX models
- H∞control of a Wiener-type system
- Use of multilayer feedforward neural networks in identification and control of Wiener model
- A modified Volterra series approach for nonlinear dynamic systems modeling