Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties
From MaRDI portal
Publication:4974671
DOI10.1109/TAC.2009.2020641zbMath1367.93166OpenAlexW2098955146MaRDI QIDQ4974671
Gilberto Pin, Davide Martino Raimondo, Thomas Parisini, Lalo Magni
Publication date: 8 August 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2009.2020641
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (17)
Stability analysis of constrained MPC with CLF applied to discrete-time nonlinear system ⋮ Tube-based robust nonlinear model predictive control ⋮ Multirate sliding mode disturbance compensation for model predictive control ⋮ Robust filter design for a class of uncertain systems with \(\mathcal D\) stability constraints under a unified framework ⋮ Self-triggered adaptive model predictive control of constrained nonlinear systems: a min-max approach ⋮ Stabilizing model predictive control: On the enlargement of the terminal set ⋮ Robust and nonlinear control literature survey (No. 14) ⋮ Robust model predictive control for constrained continuous-time nonlinear systems ⋮ Stability constraints for robust model predictive control ⋮ A robust adaptive model predictive control framework for nonlinear uncertain systems ⋮ Robust adaptive MPC using control contraction metrics ⋮ Set membership approximation of discontinuous nonlinear model predictive control laws ⋮ Design of Robust Predictive Control Laws Using Set Membership Identified Models ⋮ Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design ⋮ Model predictive control: recent developments and future promise ⋮ Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design ⋮ Nonlinear model predictive control from data: a set membership approach
This page was built for publication: Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties
