Neural network fundamentals with graphs, algorithms, and applications
Neural network fundamentals with graphs, algorithms, and applications
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Adaptive Control
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
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The identification of automotive systems requires big efforts regarding time and resources that are not always included in project planning. Nevertheless during project execution a lot of measurements are performed directly on the vehicle's ECU (Engine Control Unit) which contain by themselves useful information concerning different vehicle systems. The translation of such information into system models would imply a large time saving when doing calibration work. In order to fulfil this objective the so called neuro-hybrid models are introduced. Neurohybrid models have a structure where a parametric and a nonparametric model are connected together by a signal demodulator with the demodulator providing for an optimal retention of the behaviour of the system under identification.