Journal of Optimization Theory and Applications
Multidimensional binary search trees used for associative searching
Communications of the ACM
Automatica (Journal of IFAC)
Approximate explicit receding horizon control of constrained nonlinear systems
Automatica (Journal of IFAC)
Approximate robust dynamic programming and robustly stable MPC
Automatica (Journal of IFAC)
Input to state stability of min-max MPC controllers for nonlinear systems with bounded uncertainties
Automatica (Journal of IFAC)
Characterization of the solution to a constrained H∞ optimal control problem
Automatica (Journal of IFAC)
Brief paper: Set membership approximation of discontinuous nonlinear model predictive control laws
Automatica (Journal of IFAC)
Hi-index | 22.15 |
This paper presents an approximate multi-parametric Nonlinear Programming (mp-NLP) approach to explicit solution of feedback min-max NMPC problems for constrained nonlinear systems in the presence of bounded disturbances and/or parameter uncertainties. It is based on an orthogonal search tree structure of the state space partition and consists in constructing a piecewise nonlinear (PWNL) approximation to the optimal sequence of feedback control policies. Conditions guaranteeing the robust stability of the closed-loop system in terms of a finite l"2-gain are derived.