Sentence examples similar to multi objective synthesis from inspiring English sources

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A multi-objective synthesis problem involving H2, H∞ and impulse-to-peak performances is investigated.

This paper presents a discussion on drivers for an integrated approach and outlines the challenges in formulation of such a multi-objective synthesis problem.

Such sufficient condition is given in terms of an LMI optimization problem; this gives the opportunity of fitting the finite-time control problem in the general framework of the LMI approach to the multi-objective synthesis.

This multi-objective synthesis can be accomplished by incorporating design weights, as commonly used in the standard H∞ control theory, to design a performance-oriented anti-windup-based control scheme.

A one-step approach for simultaneous design of H∞ controller and AWC by means of linear matrix inequalities (LMIs) is presented herein, which supports multi-objective synthesis to attain stabilization or tracking, robustness against disturbance and noise, and penalization of large and high frequency control signals.

The paper presents a conflict-based approach for multi-objective process synthesis.

The problem of the multi-objective controller synthesis is to construct a controller that stabilizes the closed loop system and, simultaneously, achieves all the prescribed specifications.

In this paper, a controller design methodology is developed based on input/output linearization and multi-objective H2/H∞ synthesis that ensures robust stability and performance.

The advantages and weaknesses of different sustainability measurements are also discussed – footprints, LCA indexes, and eco-cost, in relation to multi-objective optimization synthesis.

This paper presents a new approach for multi-objective optimization synthesis of analog circuits based on computing Sobol' indices for vectors of input variable parameters ζ of analog circuits, PASSIOT.

A robust controller is designed for the linear uncertain subsystem using a multi-objective H2/H∞ synthesis approach to ensure robust stability and performance of nons quare multivariable, nonlinear systems.

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