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Bounds for the mean-square performance are established on the basis of upper bounds for the solution of the relevant Riccati equation.
A domain of choice for G is found, translated into the frequency domain, and is presented in the form of QFT bounds for the solution controller.
Since solving the functional constrained optimization problem of maximizing the secondary network's capacity subject to other radio constraints is computationally complex, we derive analytical bounds for the solution.
Section 3 is devoted to the global solution of (1.1) and the explicit exponential decay bounds for the solution.
Now by using normal residual vector (R x,theta)), we derive the error bounds for the solution of SVMQVIP (1.1).
Furthermore, we give some trace bounds for the solution of the algebraic Riccati equations, which improve some of the previous results under certain conditions.
Similar(44)
They also provide upper and lower bounds for the solutions of fractional boundary value problems.
3.2 In this part of the proof we derive uniform bounds for the solutions of the modified problem ( 29 ), ( 30 ).
are solutions of (1.12), showing that there are no either global or local upper bounds for the solutions of (1.12).
We now apply the previous results to obtain bounds for the solutions of fuzzy fractional integral equations.
Some new bounds for the solutions of certain delay dynamic equations on time scales will be derived in the following examples.
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boundary for the solution
bounds for the transmission
bounds for the system
bounds for the capacity
bounds for the reception
bounds for the class
bounds for the progressivity
bounds for the player
bounds for the uncertainty
bounds for the number
bounds for the norm
bounds for the blow-up
bounds for the discrepancy
bounds for the rank
bounds for the instability
bounds for the coupling
bounds for the notch
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com