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Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering and metrological problems are solved using computer-assisted methods. This application-oriented introduction provides students and professional engineers with the knowledge they need about the most prevalent CI methods (fuzzy systems, neuronal networks, and evolutionary algorithms).

Hydraulic Servo-systems details the basic concepts of many recent developments of nonlinear identification and nonlinear control and their application to hydraulic servo-systems: developments such as feedback linearisation and fuzzy control. The principles, benefits and limitations associated with standard control design approaches such as linear state feedback control, feedforward control and compensation for static nonlinearities are also reviewed, because of their continued practical importance.

Featuring:

- theoretical (physically based) modelling of hydraulic...