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This paper presents a set of techniques that form the basis of a comprehensive solution to the synthesis of hardware/software interfaces.
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The main contributions reported in this paper are the development and validation of the synthesis framework and some solutions to the synthesis problem.
It is shown that a solution to the robust synthesis problem for the uncertain system can be obtained by solving a synthesis problem for an uncertainty free system.
The proposed method first relaxes the limits that the synthesis filters are the time-reversed version of the analysis filters and then adopts the time domain formula of the perfect reconstruction property as the solution to design the synthesis filters.
This approach takes into account the a priori structural constraints of the synthesis problem, analytically extending the solution to the subdomain of synthesis as well as finding the tolerances for small perturbations of the objective functional.
The approach taken here is based on the input output relation of systems in the frequency-domain, which enables a less conservative yet numerically tractable solution to the robust performance synthesis.
Here, we discuss catalytic solutions to the clean synthesis of biodiesel, the most readily implemented and low cost, alternative source of transportation fuels, and oxygenated organic molecules for the manufacture of fine and speciality chemicals to meet future societal demands.
Furthermore, mannose chemistry itself is extremely challenging, demanding inspired solutions to the problem of synthesis at its occluded anomeric centre [2], [3], [4].
Simulation results show that the proposed controller performs more effective than high order H∞ controller and has close responses to the high order D K iteration controller as the common solution to μ synthesis problem.
Here we suggest a solution to this problem: the synthesis of the propeptide, and its post-translational modifications that are required for its cleavage and the production of the mature peptide, provide information on the phenotypic state of the signaling cell.
In addition, to prevent a situation we call "synthesis anomaly," we present an optimal solution to guide the array synthesis process on distributed memory machines.
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