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Dynamical membership functions: an approach for adaptive fuzzy modelling
TLDR
This work presents an approach for the development of dynamical fuzzy models, which allows to incorporate the system dynamics into the fuzzy membership functions, defined in terms of the sample mean value and the variance of each variable of the fuzzy model from the input and output values of the system to be modelled. Expand
Fuzzy Model Based Control: Application to an Oil Production Separator
TLDR
The proposed fuzzy controller is applied to control the oil level in a production separator and is shown to be capable of providing good overall system performance. Expand
An evolutionary algorithm for linear systems identification
This paper presents a systems identification method, for discrete time linear systems, based on an evolutionary approach, which allows achieving the selection of a suitable structure and theExpand
Fuzzy clustering based models applied to petroleum processes
The application of fuzzy clustering techniques has recently become in a very useful alternative in the area of modeling and identification of complex industrial processes. In particular, fuzzyExpand
Intelligent supervision based on multi-agent systems: application to petroleum industrial processes
This work presents a methodology for the design of an intelligent supervisory system that combines the principles of fuzzy logic, the Internal Model Control (IMC) architecture and the paradigm ofExpand
Intelligent Supervisory Control Design Framework for Fault Exposed Processes
The relevance of timely detecting faults in an industrial process has motive our research work, which consists in designing a framework for intelligent supervisory control for industrial processes.Expand
Intelligent supervision of petroleum processes based on multi-agent systems
This work presents a methodology for the design of an intelligent supervisory system that combines the principles of fuzzy logic, the Internal Model Control (IMC) architecture and the paradigm ofExpand
Dynamic systems control and identification using VSC-based learning algorithms for perceptron networks
TLDR
The proposed algorithms result in a temporal learning capabilities of a neural network with dynamically adjusted weights, and zero convergence of the learning error in a finite time. Expand
Dynamic systems behaviour analysis and design based on the qualitative theory of differential equations: the Boost power converter case
TLDR
A large signal characterisation of a Boost type power converter in closed loop, including its equilibrium/bifurcation points and its global dynamics, which depends upon the value of the load resistance, is studied. Expand
Plenary lecture 2: approaches to fuzzy modeling and control of dynamic processes
This talk includes some empirical approaches to fuzzy modeling of physical processes, based on input-output variables measurements. These models may be used to design fuzzy controllers in someExpand
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