Distributed controlsystems (DCS) are based on assignments of control loops and supervision points to different units. In a first approach, these assignments are made statically and following given distribution criter...
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Distributed controlsystems (DCS) are based on assignments of control loops and supervision points to different units. In a first approach, these assignments are made statically and following given distribution criteria. This paper presents a proposal of communications system over a DCS which allows the interchanging of assignments between the control units. The objective is to provide a frame for dynamical load balancing in the system with reactivity against meaningful variables in the system such as changes in the process, traffic demands or computing load in every processor.
In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-dr...
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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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Modelling and simulation are inseparable procedures that include the complex activities associated with the construction of models representing real processes, and experimentation with the models to obtain data on the...
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This paper deals with the problem of uncertainty management in real time optimization (RTO). It proposes a new architecture in the modifier-adaptation methodology, reformulating the algorithm as a nested optimization ...
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Real-Time Optimization (RTO) is not always able to achieve optimal process operation due to the presence of significant uncertainty about the plant models that are used to make decisions and also due to the difference...
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Introduction: Power electronics is concerned with electromechanical systems that carry power. In a wide sense, power electronics includes the analysis, synthesis and implementation of electrical motors and generators,...
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This paper deals with the problem of optimizing the performance of a process using Real Time Optimization (RTO) considering the unavoidable errors in the process models. It implements a new architecture within the mod...
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This paper describes a neural predictive control toolbox developed in Matlab/Simulink environment. The application permits all phases of the system design: simulation of the plant by means of any Simulink model, loadi...
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This paper describes a neural predictive control toolbox developed in Matlab/Simulink environment. The application permits all phases of the system design: simulation of the plant by means of any Simulink model, loading of input/output data, definition of the neural network architecture, training, and, finally, application of the predictive control strategy based on the neural network model.
This paper presents a comprehensive exploration into the critical aspect of effector design within the context of mobile platforms utilised during emergency scenarios. In times of crisis, ranging from natural disaster...
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