Develops a constrained ADP algorithm for linear systems that guarantees perpetual constraint satisfaction via invariant sets and asymptotic convergence to the optimal LQR policy, with a data-driven implementation.
An iterative technique for the computation of the steady state gains for the discrete optimal regulator,
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Approximate Dynamic Programming For Linear Systems with State and Input Constraints
Develops a constrained ADP algorithm for linear systems that guarantees perpetual constraint satisfaction via invariant sets and asymptotic convergence to the optimal LQR policy, with a data-driven implementation.