论文信息 - Constrained NMPC via state-space partitioning for input-affine non-linear systems

Constrained NMPC via state-space partitioning for input-affine non-linear systems

State-space partitioning and judicious use of graph theory is deployed to propose a novel nonlinear model predictive control (NMPC) approach that is suitable for fast sampling applications. The efficacy of the approach is demonstrated by means of a design study.

Marko Bacic | Basil Kouvaritakis | Mark Cannon

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