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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.
optimizing a prescribed objective function.
where U[ q] has as columns the eigenvectors of R ̄ q = ρ 2 H ̄ [ q ] H H ̄ [ q ] + N s 1 σ v 2 corresponding to its N s largest eigenvalues, and Ω [ q ] = D ω q 1 ⋯ ω q N s is the power allocation matrix whose coefficients can be found optimising a prescribed objective metric [7].
These authors use the SIR model to study optimal controls, i.e., controls that minimize a prescribed objective function.
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Topology optimization is a mathematical, gradient-based design procedure that can be used to determine the distribution of required material within a design domain based upon defined loads and boundary conditions while meeting a prescribed target objective, such as minimizing deflection.
The objective is to drive follower spacecraft to form a prescribed shape around a leader, while collision avoidance is achieved among different spacecraft.
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.
The control objective is to drive the system response from an arbitrary initial distribution to a prescribed stationary probability density function (PDF).
The objective is to find a new way to design the controller and observer guaranteeing a prescribed H∞ performance of the fuzzy system.
More precisely, given interval domains for the objective function coefficients and constraint coefficients of a linear program, we ask for which scenario a prescribed optimal value is attained.
Design objective requires the worst-case energy gain from disturbance to estimation error to be less than a prescribed level.
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