In the first model problem, both the mass and the peak hoop stress of Zirconia/Titanium alloy plates and shells are simultaneously minimized for a prescribed temperature load with a constraint on the maximum temperature experienced by the metal.
The objective of the control is to minimize a performance function while guaranteeing a prescribed quantitative input to state stability (ISS) property for the closed-loop systems.
Traditionally, component optimization is defined by minimizing the structural cost under a prescribed reliability target for a single limit state.
The goal of these strategies is to jointly allocate resources (i.e., power, subcarriers and/or time slots) in order to either minimize the weighted sum of powers under a prescribed minimum rate budget [4 6] or maximize the weighted sum-rate under a prescribed power budget [7 9].
In that sense, topology optimization method allows a systemized distribution of material inside a design domain, such that a prescribed objective function is minimized, subjected to design constraints.
We accordingly minimize a target functional which combines the competing L 2 norms of both (7) and (8) together with ∥ Δ ϕ ∥ L 2 and additional terms which penalize deviation from other desired properties like prescribed directions, and so on.
The controller is required to satisfy a prescribed H∞-norm bound and to minimize the closed-loop entropy (at s=∞) for all small enough ε.
The objective is to design a dynamic filter such that the gain from an exogenous input to an estimation error is minimized or guaranteed to be less or equal to a prescribed value for all admissible uncertainties.
The objective is to design such a full-order filter that the L2 gain from the exogenous input to an estimation error is minimized or guaranteed to be less or equal to a prescribed value.
