Magni, L.

Nijmeijer, H.

Schaft, A.J. van der

English

The receding-horizon (RH) methodology is extended to the design of a robust controller of H∞ type for nonlinear systems. Using the nonlinear analogue of the Fake H∞ algebraic Riccati equation, we derive an inverse optimality result for the RH schemes for which increasing the horizon causes a decrease of the optimal cost function. This inverse optimality result shows that the input-output map of the closed-loop system obtained with the RH control law has a bounded L2-gain. Robustness properties of the nonlinear H∞ control law in face of dynamic input uncertainty are considered

ARTS repository - University of Groningen

A receding-horizon approach to the nonlinear H∞ control problem

https://pure.rug.nl/ws/files/14408334/2001AutomaticaMagni.pdf

A receding-horizon approach to the nonlinear H∞ control problem

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ARTS repository - University of Groningen