This equation can be reformulated as a function of each variable, but its reformulation as a function of SvO2 is one of the most popular because SvO2 measurements are precise, accurate, time responsive and quite easy to monitor [ 10, 11].
Thus, the quadratic objective function can be reformulated as a function of some vector b by substituting for, in general QP problem.
In this paper, a modified model is proposed for the Davenport coherence function and is used to improve the efficiency of the Cholesky decomposition based on an approximation technique where the target wind spectrum is reformulated as a piecewise function.
The expression of the l p sparsity regularization is reformulated as a differentiable function of a parameter to avoid the difficulty in calculating its gradient in the optimization process.
In this paper, to overcome the above mentioned problems the design procedure is reformulated as a set of cost functions and constraints.
Using parameter-dependent Lyapunov functions, the control design is reformulated as a parameter-dependent LMI optimization with a single line search parameter.
The result is that the optimal control problem is reformulated as a non linear program where the properties of the cost function and of the constraint are affected by the choice of the basis functions.
Based on the smoothed Fischer-Burmeister function, the variational inequality problem is reformulated as a system of parameterized smooth equations.
Without restrictive assumptions found in previous approaches, the fractional programming problem is reformulated as a recursive optimization problem to solve for a CLF with basis functions.
A design of the fault-tolerant compensation controller is reformulated as a linear matrix inequality problem.
