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doc: LinearMPC in homepage.
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@@ -14,7 +14,8 @@ real-time optimization. Modern MPCs based on closed-loop state estimators are th
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of the package, but classical approaches that rely on internal models are also possible. The
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`JuMP` and `DifferentiationInterface` dependencies allows the user to test different
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optimizers and automatic differentiation (AD) backends easily if the performances of the
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default settings are not satisfactory.
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default settings are not satisfactory. Linear MPC controllers can be exported to lightweight
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and standalone C code via the `LinearMPC` package extension.
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The documentation is divided in two parts:
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