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These estimated values are computed by using the linear piecewise interpolation.
Similar results have been achieved by using the linear contrast stretching.
Qv can be obtained by using the linear relationship between Va and Qv.
Then the control system is designed by using the Linear Parameter Varying (LPV) control theory.
The corresponding parameters of the controller are obtained by using the linear matrix inequalities (LMIs) optimization.
The subsequent stated controller matrices are found by using the Linear Matrix Inequality approach.
The interactions between the process parameters were done by using the linear and quadratic model.
The controllers are derived by using the linear matrix inequality approach.
Qv can be obtained by using the linear relationship between ΔTmax and Qv.
The model is formulated by using the linear generalized disjunctive programming (LGDP).
The unsteady aerodynamic load in a supersonic flow is computed by using the linear piston theory.
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