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Using the point-mass parameters as design variables, the solution of this optimization problem optimizes the mass distribution of each link.
The solution of this optimization problem is utilized to determine optimal controller parameters.
The solution of this optimization problem is illustrated in the following subsections.
The solution of this optimization problem leads to design of controllers with dual features.
The solution of this optimization problem can be found by a simple water-filling scheme as described in [28, 42].
For the solution of this optimization problem an Extended Kalman Filter with a Markov-2 Process is proposed.
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The solution of this integrated optimization problem requires sensitivity analysis implying computing the derivatives of the constraints imposed on the optimization problem with respect to the design variables.
The solution of this novel optimization problem is not trivial because SSIM is non-convex in nature.
The solution of this constrained optimization problem can lead to a new system of multi-carrier modulation featuring an optimal performance.
The solution of this linear optimization problem is always feasible as long as the total transmit power is above a certain value.
(3) The solution of the optimization problem considered in this paper provides a universal power allocation policy for multiuser transmitter with hybrid energy sources over an infinite horizon and facilitates the design of reliable green communication.
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