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Menesi et al. (2013) demonstrated the capability of constraint programming to handle the time-cost trade-off problem for large-scale projects involving thousands of activities.
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Our incorporation of several replicate high-throughput proteomic data sets illustrates the integrative capabilities of constraint-based models.
Compared to NCA, a distinct feature of gNCA is the capability of imposing constraints on both the regulatory network and regulatory signals.
It has the unique capability of incorporating constraints imposed by the underlying pharmacology/pathophysiology and offers a rich body of behaviors for modeling the relationship between drug dose and the time course of drug disposition and effect.
The MHE approach is used due to its capability of exploiting physical constraints on states and noise in the estimation process.
GA has several advantages, such as flexibility in defining constraints, capability of working with both continuous and discrete variables, capability of handling large search space, etc. (Fahimnia et al. 2008).
The capability constraints of DGs are handled by using the bus type switching scheme given in Section 4.4.
This is achieved by exploiting constraint handling capability of NMPC.
In this paper, we develop a state estimation-based model predictive control approach that has the same general philosophy of cascade control (taking advantage of secondary measurements to aid disturbance rejection), with the additional advantage of the constraint handling capability of model predictive control (MPC).
Craig Federighi: The requirements for the capability of the system do provide constraints that drive the design process.
This is attributed mainly to its capability of enabling mobility without imposing constraints or requirements on the mobile node (MN).
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