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Stabilizing conditions for model predictive control
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DOI：10.1002/rnc.4409.png)
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Abstract
En 中文
Existing stabilizing conditions that use a terminal cost and constraint that, if satisfied, ensure stability and recursive feasibility for deterministic, robust, and stochastic model predictive control are briefly reviewed and analyzed. It is pointed out that these conditions do not cover all situations. Proposals are made to cover a wider range of desired applications.
Keywords:
descent property
model predictive control
recursive feasibility
stabilizing conditions
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