17th International Symposium on
Mathematical Theory of Networks and Systems
Kyoto International Conference Hall, Kyoto, Japan, July 24-28, 2006

MTNS 2006 Paper Abstract


Paper TuA10.2

Roset, Bas (Eindhoven Univ. of Tech.), Lazar, Mircea (Eindhoven Univ. of Tech.), Nijmeijer, Hendrik (Eindhoven Univ. of Tech.), Heemels, Maurice (Eindhoven Univ. of Tech.)

Stabilizing Output Feedback Nonlinear Model Predictive Control: An Extended Observer Approach

Scheduled for presentation during the Regular Session "Model Predictive Control II" (TuA10), Tuesday, July 25, 2006, 10:50−11:15, Room 103

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on May 27, 2023

Keywords Stability, Model predictive control, Observers


Nonlinear Model Predictive Control (NMPC), generally based on nonlinear state space models, needs knowledge of the full state for feedback. However, in practice knowledge of the full state is usually not available. Therefore, an asymptotically stabilizing MPC scheme for a class of nonlinear discrete-time systems is proposed, which only requires knowledge of the output of the system for feedback. The presented output based NMPC scheme consists of an extended observer interconnected with an NMPC controller which represents a possibly discontinuous state feedback control law. Sufficient conditions for asymptotic stability of the system in closed-loop with the NMPC observer interconnection are derived using the discrete-time input-to-state stability framework. Moreover, it is shown that there always exist NMPC tuning parameters and observer gains, such that the derived sufficient stabilization conditions can be satisfied.