The joint design of processes and control is an integration technique that incorporates control requirements in the process design stage. This paper presents an integrated design methodology and illustrate it with an ...
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The joint design of processes and control is an integration technique that incorporates control requirements in the process design stage. This paper presents an integrated design methodology and illustrate it with an alternative design for a real plant of activated sludge processing. The process design obtained is not only optimum from the economic point of view, but exhibits certain previously fixed dynamic characteristics. The point of operation and the size of the processing units are obtained through mathematical programming, together with the parameters of the controller.
This paper describes the main results obtained so far in the problem of the optimal startup of an industrial evaporation station involving continuous as well as discrete real time decisions.
This paper describes the main results obtained so far in the problem of the optimal startup of an industrial evaporation station involving continuous as well as discrete real time decisions.
This paper deals with a mixed continuous-batch process, a pilot plant of our Lab, where both continuous decisions and scheduling take place. The interest of this contribution comes not only from the fact that it is a ...
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In this paper, a fully stochastic setting is proposed to design indicators aimed at detecting and isolating faults in a dynamical system. Modelling uncertainties, as well as process and measurement noise are accounted...
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In his paper, a fully stochastic setting is proposed to design indicators aimed at detecting and isolating faults in a dynamical system. Modeling uncertainties, as well as process and measurement noise are accounted f...
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In his paper, a fully stochastic setting is proposed to design indicators aimed at detecting and isolating faults in a dynamical system. Modeling uncertainties, as well as process and measurement noise are accounted for. Two distinct sets of fault indicators are determined, one for fault detection, he other one for fault isolation. Each indicator is obtained by solving an optimization problem aimed at maximizing a statistical distance (namely he Kullback divergence) between he distribution of the indicator under different faulty and fault free working modes. The solution of he problem relies on statistical experiment design for he stochastic characterization of he system.
During the last years, the transportation industry has been involved in important new challenges to cope the changes in production and logistical systems. Just-In- Time procurement and quick and efficient consumer res...
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Many processes, even being of a continuous nature, involve in its operation signals or rules different from the classical continuous variables represented by real variables and modelled by DAE. In practice they includ...
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Many processes, even being of a continuous nature, involve in its operation signals or rules different from the classical continuous variables represented by real variables and modelled by DAE. In practice they includ...
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Many processes, even being of a continuous nature, involve in its operation signals or rules different from the classical continuous variables represented by real variables and modelled by DAE. In practice they include on/off valves or other binary actuators, are subjected to logical operational rules, or are mixed with sequential operations. As a result, classical control does not fit very well with the overall operation of the plant. In this paper we consider the problem of hybrid control from a predictive control perspective, showing in a practical non trivial example with changing process structure, how the problem can be stated and solved.
The diagnosis systems considered in this paper rely on the inconsistency between the actual process behaviour and its expected behaviour as described by an analytical model. The inconsistency is exhibited in signals c...
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