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The objective is to design MPC laws that robustly enforce constraint satisfaction in a manner that is least-restrictive, i.e., have the largest possible domain.
To enforce constraint satisfaction under numerical errors, we adopt tools from forward error analysis to compute an error bound on the output of the embedded controller.
To enforce constraint satisfaction under numerical errors, we use forward error analysis to compute an error bound on the output of the embedded controller.
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Note that is implicitly obtained when using the auction algorithm to enforce constraints on nodes in.
Our approach utilizes the penalty method to enforce constraints in harmonic field computation.
In addition, they do not enforce constraints on the channel model.
Models built using ALAMO can enforce constraints on the response variables to incorporate first-principles knowledge.
Although NO-ILC problems are usually formulated without constraints, they may be extended to enforce constraints by posing an analogous constrained optimization problem, termed Constrained Optimal ILC (CO-ILC).
The motivation behind introducing the weighting parameter in Eq. (12) is to enforce constraints on the back-projection operator that will ultimately lead to reconstruction bearing minimal flaw, but still be solution of Eq. (11).
For instance, OWL-Q [29], an extensible ontological specification for semantic QoS-based WS description, bypass this limitation by extending OWL with SWRL rules reasoning about relations between properties in order to enforce constraints.
GA is well suited for multi-objective performance and non-mathematical optimization problems in cognitive radio networks as it can search for multiple sets of solutions over a large search space and can enforce constraints [20].
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