Abstract
This paper presents a new technique for the design of real-time controllers based on a hybrid approach which integrates several control strategies, such as intelligent controllers (e.g., artificial neural networks, fuzzy systems), traditional linear controllers, finite state automata. An integrated programming environment, called EL-SIM, is also presented, suited for developing high-performance intelligent controllers for industrial applications. EL-SIM provides general tools to support the development and optimization of control systems based on the aforementioned approach, by means of several cognitive or hybrid algorithms, which allow also improvement of environmental performance indexes, like power consumption or toxic waste emission. EL-SIM permits both the study of new experimental techniques in research application and the design, tuning and testing of widely used control architectures for industrial applications.
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© 1995 Springer-Verlag Berlin Heidelberg
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Chiaberge, M. et al. (1995). EL-SIM: a development environment for neuro-fuzzy intelligent controllers. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_236
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DOI: https://doi.org/10.1007/3-540-59497-3_236
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