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Outside this neighborhood, the control law is obtained by solving a finite horizon optimization problem (FHOP) with additional terminal inequality constraints.
The flow field is computed by solving a finite volume approximation of the Navier Stokes equations on moving grids augmented by turbulence models.
Feasible solutions can be obtained by solving a finite number of linear matrix inequalities (LMIs) embedded within a genetic algorithm (GA).
The result of the proof is verified by solving a finite approximation of PHI with three existing codes, two of which are not constrained by these assumptions.
By resorting to a chain-scattering representation of the system, the proposed approach offers a criterion enabling one to cope with the static output feedback ℓ1-control design by solving a finite set of linear inequalities.
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As with the concentration problem for scalar functions on the sphere, which has been treated in detail elsewhere, a Slepian vector basis can be constructed by solving a finite-dimensional algebraic eigenvalue problem.
In this procedure, the unknown macroscopic constitutive relationship is searched by solving a local finite element problem at the microscale.
In the present approach, the unknown constitutive relationship at the macroscale is obtained by solving a local finite element problem at the microscale.
The behavior of the concentration and thermal Nusselt numbers is also investigated by solving the finite amplitude equations using a numerical method.
The electrostatic influence of the central cavity and pore alpha helices in the potassium ion channel from Streptomyces lividans (KcsA K+ channel) was analyzed by solving the finite difference Poisson equation.
In this approach, the control action is computed by solving on-line a finite-horizon optimal control problem based on an uncertain model of the plant subject to appropriate Lyapuonv-based stability constraints.
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