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Identification of nonlinear systems represented by a combination of linear dynamics and static nonlinear elements is achieved by a new model of locally recurrent globally feedforward neural network and uses only input/output measurements.
Genetic Algorithm (GA) is a non-parametric optimization technique that is frequently used in problems of combinatory nature with discrete or continuous variables. In treating with multi-objective evaluation functions it is important to have an adequate methodology to solve the multiple objectives problem so that each partial objective composing the evaluation function is adequately treated in the...
Industries are aiming to become more competitive and enlarge their profits. A good management is a key factor to accomplish the company's target, however all management decisions are supported by tools that provide good information on the process. Soft Sensors have been applied in industries and its use has been growing lately. It can be adapted to any application regarding variable measurement, therefore...
This study presents H2 and H∞ performance analysis and synthesis procedures for the design of both gain-scheduled and robust static output feedback controllers for discrete-time linear systems with time-varying parameters. The obtained controllers guarantee an upper bound on the H2 or H∞ performance of the closed-loop system. As an immediate extension, the mixed H2/H∞ guaranteed cost control problem...
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