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electrohydraulic axis, to the simulation results achieved in this case, and to the comparative study of
conventional and modern controllers.
Section 33.8 contains a concise presentation of this chapter, the main contributions to the subject area
presented, as well as a listing of perspective areas of interest in order to pursue further research in this
direction.
Without intending to confine the parameters of this chapter, following is a listing of possible research
directions and development perspectives that may be followed in future research endeavors:
• applying various controllers implemented in SIMULINK not only to control the electrohydraulic
axis discussed, but also for systems with very complex structure which are involved in large
hydraulic installations, offering the user a neuro-fuzzy controller’s library;
• the hardware implementation of described neuro-fuzzy controller;
• continued research in the development of an optimal controller, systemically based (through the
further study of stability utilizing linear matrix inequalities—LMI);
• the integration of presented controllers in software packages dedicated to hydraulic and pneumatic
fields (for instance in HYPAS[23], DSH, etc.);
• the development of controller design in order to promote those controllers, which allow a better
symbiosis between classical and advanced methods (neuro-fuzzy, genetic algorithms);
• the extension of preoccupations and extrapolation of research results regarding control of velocity,
acceleration, pressure, flow, force, moment, and power.

References
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error method, IEEE Trans. on Systems, Man, and Cybernetics, SMC-27-B(4), August 1997.
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Intelligence, FNS’98, München, Germany,19–20 martie.
3. Backé, W. Systematik der hydraulischen Widerstandsschaltungen in Ventilen und Regelkreisen.
Krauskopf-Verlag, Mainz, 1974.
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8. Driankov, D., Hellendoorn, H., Reinfrank, M. An Introduction to Fuzzy Control. Springer-Verlag,
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13. Friedrich, A. Logik und Fuzzy-Logik. Expert-Verlag,1997.

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