Computation, approximation and stability of explicit feedback min-max nonlinear model predictive control
From MaRDI portal
Publication:1023125
DOI10.1016/j.automatica.2008.12.023zbMath1162.93337OpenAlexW2113824675MaRDI QIDQ1023125
Alexandra Grancharova, Tor Arne Johansen
Publication date: 10 June 2009
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2008.12.023
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (8)
An adaptive approach to adjust constraint bounds and its application in structural topology optimization ⋮ Explicit improved vertex control for uncertain, time-varying linear discrete-time systems with state and control constraints ⋮ Computational burden reduction in min-max MPC ⋮ Set membership approximation of discontinuous nonlinear model predictive control laws ⋮ Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design ⋮ Computation, approximation and stability of explicit feedback min-max nonlinear model predictive control ⋮ Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design ⋮ On the disturbance model in the robustification of explicit predictive control
Cites Work
- Unnamed Item
- Unnamed Item
- Introduction to sensitivity and stability analysis in nonlinear programming
- Approximate robust dynamic programming and robustly stable MPC
- Input to state stability of min-max MPC controllers for nonlinear systems with bounded uncertainties
- Computation, approximation and stability of explicit feedback min-max nonlinear model predictive control
- Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
- An efficient off-line formulation of robust model predictive control using linear matrix inequalities
- Approximate explicit receding horizon control of constrained nonlinear systems.
- Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control
- Characterization of the solution to a constrained \(H_{\infty}\) optimal control problem
- Receding horizon control of nonlinear systems
- Multidimensional binary search trees used for associative searching
- Robust receding horizon control of constrained nonlinear systems
- Feedback min‐max model predictive control using a single linear program: robust stability and the explicit solution
- Constrained NMPC via state-space partitioning for input affine non-linear systems
- Robust model predictive control for nonlinear discrete‐time systems
- Discrete-Time Non-smooth Nonlinear MPC: Stability and Robustness
- Computational Aspects of Approximate Explicit Nonlinear Model Predictive Control
- Robustness and Robust Design of MPC for Nonlinear Discrete-Time Systems
- Min-max control of constrained uncertain discrete-time linear systems
- Relaxing Dynamic Programming
- Robust Explicit MPC Based on Approximate Multiparametric Convex Programming
This page was built for publication: Computation, approximation and stability of explicit feedback min-max nonlinear model predictive control
