Adaptive Resonance theory Neural Networks

VDL Seminar Feb. 15 (Friday) @ 6153(Vogt) Etcheverry. Speaker: Kyle Edelberg
PDF (507 KB). First Page of the Article. View full abstract┬╗ Time: 1pm – 2pm February 15th (Friday),

Location: 6153 (Vogt) Etcheverry
Speaker: Kyle Edelberg

Abstract:

In this seminar I will give an update on the work I have been doing on
the Toyota project since last semester as well as outline my future
efforts. The Toyota project encompasses many different objectives, but
my work can be essentially divided into three categories: (1)
Incorporating real-world limitations (e.g. finite sampling rates,
sensor quantization, etc.) into powertrain control design, (2) setting
up our engine test cell with a dSPACE rapid-prototyping ECU, and (3)
exploration of the Toyota High Level Modeling Tool (HLMT).

The motivation for (1) is because of the difficulties automotive
companies face when implementing control software onto physical
hardware. Traditionally hardware imprecisions such as sampling time,
propagation delays, and quantization are not accounted for in control
design. Neglecting such effects leads to reduced performance of the
controller during implementation, sometimes to the point that the
control target is no longer met. Last semester I presented my work on
accounting for the overall uncertainty

Source: Vehicle Dynamics & Control Lab

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