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Using an adjoint equation we implement a gradient algorithm for the minimization of the objective function.
Using a gradient algorithm, the ideal controller gains which can stabilize the error equation are estimated.
A gradient algorithm based on the adjoint state method and domain decomposition gives a fast parallel numerical method.
The original idea of this paper is the combination of a dynamical programming method with a gradient algorithm in the solution of the optimal design.
For disturbance rejection, a so-called inverse G algorithm is proposed and its properties are compared through analysis and experiments to those of a gradient algorithm.
The proposed approach is to derive a gradient algorithm from a hyperbolic diffusion scheme, which solves the diffusion equation and equations for the solution gradient, by ignoring the residual component for the diffusion equation.
Similar(45)
In [13], a gradient algorithm-based scheme for self-organizing resource allocation in LTE systems is proposed.
Using the instantaneous squared error |e ℓ (n)|2 as an objective function, a stochastic gradient algorithm that updates is given by (14).
They constructed a projection gradient algorithm where the a priori error estimates of the control is first-order in [11, 12].
To reduce the complexity of QCQP, Tellado in[11] proposed a simple gradient algorithm to provide an approximate solution with reduced complexity.
A bank of GA's are used to get a good starting solution for a conjugate gradient algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com