Adaptive control Lyapunov function based model predictive control for continuous nonlinear systems
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Publication:6141950
DOI10.1002/rnc.6409OpenAlexW4308454476MaRDI QIDQ6141950
Shao-Yuan Li, Unnamed Author, Yi Zheng
Publication date: 23 January 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6409
Nonlinear systems in control theory (93C10) Lyapunov and storage functions (93D30) Adaptive control/observation systems (93C40) Model predictive control (93B45)
Cites Work
- Provably safe and robust learning-based model predictive control
- Robust adaptive control of nonlinear non-minimum phase systems with uncertainties
- Control Lyapunov functions for adaptive nonlinear stabilization
- Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
- A universal formula for stabilization with bounded controls
- Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone
- A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
- Robust MPC with recursive model update
- Control Lyapunov-barrier function-based model predictive control of nonlinear systems
- Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control
- Distributed model predictive control for linear systems under communication noise: algorithm, theory and implementation
- Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints
- Tube-based robust nonlinear model predictive control
- Robust model predictive control for multiple time delay systems with polytopic uncertainty description
- A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
- Model predictive control for nonlinear systems with time‐varying dynamics and guaranteed Lyapunov stability
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