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Following the approach of [6], we find {a i,j } and {p j } by solving a mixed integer linear program.
Within this framework, previous work has demonstrated that a minimally harmful input guaranteeing fault diagnosis can be obtained by solving a Mixed Integer Quadratic Program (MIQP).
This has to be done by solving a "mixed" boundary-value problem, in which displacements are specified under the plate and pressures everywhere else on the surface.
This generated column does not require that all K elements have to be known, but the new vector can be obtained by solving a mixed integer linear programming formulation discussed in the proceeding subsection.
When faults are described as discrete switches between linear systems with uncertainties bounded within zonotopes, an optimal open-loop input guaranteeing diagnosis within a specified time horizon can be computed efficiently by solving a Mixed Integer Quadratic Program (MIQP).
It has been previously shown that, for channels without feedback, a solution can be obtained by solving a mixed norm minimization problem and performing a spectral factorization, see Johannesson et al. (2010b).
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It is also possible simultaneously to suppress flutter using the same passive mechanical controller by solving a passive mixed H2/H∞ control problem.
Following a so-called overall graph sequence by a scheduler, the collision-free trajectories of AGVs are determined by solving a collection of mixed integer linear programming problems sequentially.
This is done in terms of a screen entrance resistance by solving a steady-state potential flow mixed type boundary value problem in a homogeneous axi-symmetric flow domain using a semi-analytical solution approach.
As the result, the original large-scale two-stage integer programming problem can be approximately solved by solving a series of small-scale mixed-integer programming, which can be implemented on a workstation or a PC.
As a result, the MPC is designed by solving a Mixed-integer Quadratic Programming problem.
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