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- W2100098073 abstract "We present a method to increase the feasibility in model predictive control (MPC) algorithms that use ellipsoidal terminal state constraints and performance bounds from nominal controllers. The method is based on estimating a bound on the achievable performance with a saturated nominal controller and using this bound in the MPC algorithm. The resulting MPC controller can be implemented efficiently with second order cone programming." @default.
- W2100098073 created "2016-06-24" @default.
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- W2100098073 date "2002-11-11" @default.
- W2100098073 modified "2023-09-24" @default.
- W2100098073 title "A stabilizing MPC algorithm using performance bounds from saturated linear feedback" @default.
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- W2100098073 doi "https://doi.org/10.1109/cdc.2000.912839" @default.
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