Multimodel repetitive–predictive control of nonlinear systems: rejection of unknown non-stationary sinusoidal disturbances
DOI10.1080/00207179.2016.1210233zbMath1367.93156OpenAlexW2460309129MaRDI QIDQ5348301
Mouhib Allaoui, Anis Messaoud, Khadija Dehri, Ridha Ben Abdennour
Publication date: 15 August 2017
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2016.1210233
disturbance rejectionnonlinear systemsmulti-observerrepetitive-predictive controlmagnitude-phase-locked loop (MPLL)non-stationary sinusoidal disturbances
Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Related Items (3)
Cites Work
- Unnamed Item
- Generalized predictive control. I: The basic algorithm
- Fuzzy modeling of complex systems
- The internal model principle of control theory
- Model predictive control: Theory and practice - a survey
- Robust disturbance rejection in modified repetitive control system
- Gain scheduled continuous-time model predictive controller with experimental validation on AC machine
- Switched linear model predictive controllers for periodic exogenous signals
- Fuzzy identification of systems and its applications to modeling and control
- Adaptive control using multiple models
- A globally convergent frequency estimator
- Fault detection and isolation in linear parameter‐varying descriptor systems via proportional integral observer
- A magnitude/phase-locked loop approach to parameter estimation of periodic signals
- Nonlinear discrete-time observer design with linearizable error dynamics
This page was built for publication: Multimodel repetitive–predictive control of nonlinear systems: rejection of unknown non-stationary sinusoidal disturbances