The impact of VLSI technologies on neural networks

Moini, Alireza; Eshraghian, Kamran; Bouzerdoum, A.

doi:10.1109/icnn.1995.488085

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…Time delay appears in genetic networks due to transcription, translation, and translocation processes [14], [18]. The study of genetic networks has led to artificial networks such as VLSI nerochips [19], [20], [21]. For the applications where a delay line is already available or can be made much easier than an integrator, it may be preferable to design a controller based on delay blocks rather than integrators.…”

Section: Introductionmentioning

confidence: 99%

Simple delay-based implementation of continuous-time controllers

Lavaei

Sojoudi

Murray

2010

Proceedings of the 2010 American Control Conference

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Abstract-The objective of this work is to study the benefits that delay can provide in simplifying the control process of large-scale systems, motivated by the availability of different types of delays in man-made and biological systems. We show that a continuous-time linear time-invariant (LTI) controller can be approximated by a simple controller that mainly uses delay blocks instead of integrators. More specifically, three methods are proposed to approximate a pre-designed stabilizing LTI controller arbitrarily precisely by a simple delay-based controller composed of delay blocks, a few integrators and possibly a unity feedback. Different problems associated with the developed approximation procedures, such as finding the optimal number of delay blocks or studying the robustness of the designed controller with respect to delay values, are then addressed.

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