论文信息 - Dynamic programming and model predictive control

Dynamic programming and model predictive control

Presents a criterion for assessing the stability of nonlinear model predictive control (MPC). The criterion is based on the monotonicity of the MPC cost function as a function of horizon length, and is derived using dynamic programming theory in a deterministic setting.

Edward S. Meadows | E. S. Meadows

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