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We introduce a new methodology for the specification and the design of the control logic of automated manufacturing systems. Our aim is to make specification express just what is necessary earlier in the design process. This permits to produce an optimized work cycle for the system and makes both production recovery calculation and code generation easier. The methodology is based on a modular modeling...
This paper presents a constrained model predictive control strategy that can be used to control nonlinear processes described by Volterra models. The controller exploits the special structure of the model to achieve an online feasible solution to the general optimization problem. Efficient solutions can be found, especially for second order Volterra models, that can solve the nonlinear problem by...
Fractional order systems are receiving more and more attention from the scientific literature as many real systems showed behavior which can be represented by fractional order differential equations. Besides many control design methods are being investigated since fractional order controllers guarantee robust stability in wide frequency ranges. This paper uses generalized Laguerre orthogonal functions...
In tunnel-type industrial furnaces there are various subsystems concerning either the temperature regulation or the air flow and pressure. These subsystems are usually controlled by conventional techniques and controllers offering simply an acceptable operation of the whole system. This paper presents design and implementation of a fuzzy control scheme for supervising coordination of the individual...
In this paper, authors present a new design method for pulse width modulation inverters in microturbines by using a multiobjective genetic algorithm. The design problem is converted to an equivalent optimization problem, and then a multiobjective genetic algorithm is adopted to find a solution. The genetic algorithm is proposed to design a fuzzy controller. In this GA approach, an individual is constructed...
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