Nonlinear disturbance observer-based adaptive nonlinear model predictive control design for a class of nonlinear MIMO system
DOI10.1080/00207721.2022.2034067zbMath1493.93013OpenAlexW4301030423MaRDI QIDQ5091886
Lakshmi Dutta, Dushmanta Kumar Das
Publication date: 27 July 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2022.2034067
model predictive control (MPC)ensemble Kalman filter (EnKF)multi-input-multi-output (MIMO)nonlinear disturbance observer-based adaptive nonlinear model predictive control (NDO-ANMPC)second level adaptation (SLA)twin rotor MIMO system (TRMS)
Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40) Model predictive control (93B45) Observers (93B53)
Related Items (1)
Cites Work
- Unnamed Item
- An auto-generated real-time iteration algorithm for nonlinear MPC in the microsecond range
- Adaptive model predictive control for a class of constrained linear systems based on the comparison model
- Dual adaptive model predictive control
- Finite-region asynchronous \(H_\infty\) control for 2D Markov jump systems
- Robust Ensemble Kalman Filter Based on Exponential Cost Function
- New Concepts in Adaptive Control Using Multiple Models
- The ensemble Kalman filter for combined state and parameter estimation
- An online active set strategy to overcome the limitations of explicit MPC
- Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition
This page was built for publication: Nonlinear disturbance observer-based adaptive nonlinear model predictive control design for a class of nonlinear MIMO system