Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A simple neuron servo.

S P Deweerth1, L Nielsen, C A Mead

  • 1Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA.

IEEE Transactions on Neural Networks
|January 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Primary Hepatoid Adenocarcinoma of the Lung: Clues for Cytological Diagnosis.

Cytopathology : official journal of the British Society for Clinical Cytology·2025
Same author

TB as a risk factor for severe COVID-19 mortality.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2025
Same author

Precision Comparison of the Lattice Parameters of Silicon Monocrystals.

Journal of research of the National Institute of Standards and Technology·2023
Same author

Erratum: Precision Comparison of the Lattice Parameters of Silicon Monocrystals.

Journal of research of the National Institute of Standards and Technology·2023
Same author

A Danish hospital outbreak of SARS-CoV-2. Combining whole-genome sequencing with epidemiological links offers surprising new information.

The Journal of hospital infection·2021
Same author

Effects of antioxidant MnTBAP on angiogenesis in newborn mice with hyperoxic lung injury.

Journal of neonatal-perinatal medicine·2020
Same journal

Universal perceptron and DNA-like learning algorithm for binary neural networks: LSBF and PBF implementations.

IEEE transactions on neural networks·2013
Same journal

Guest editorial: special section on white box nonlinear prediction models.

IEEE transactions on neural networks·2011
Same journal

Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures.

IEEE transactions on neural networks·2011
Same journal

Guest editorial: special section on data-based control, modeling, and optimization.

IEEE transactions on neural networks·2011
Same journal

Neural network-based multiple robot simultaneous localization and mapping.

IEEE transactions on neural networks·2011
Same journal

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.

IEEE transactions on neural networks·2011
See all related articles

A novel Very-Large-Scale Integration (VLSI) servo controller utilizes neuronlike components and pulsed signals for highly efficient, miniaturized control systems. This design enhances performance in friction-limited applications, offering a compact alternative to traditional controllers.

Area of Science:

  • Neuro-inspired engineering
  • VLSI circuit design
  • Robotics and control systems

Background:

  • Conventional servo controllers are often bulky and complex.
  • There is a need for miniaturized, efficient control systems, particularly for friction-limited applications.

Purpose of the Study:

  • To describe a novel Very-Large-Scale Integration (VLSI) servo controller.
  • To demonstrate the efficacy of neuronlike components and pulsed signal processing in control systems.
  • To highlight advantages in miniaturization and performance compared to conventional systems.

Main Methods:

  • Design and fabrication of a VLSI servo controller using neuronlike circuit elements.
  • Implementation of a proportional and derivative (PD) controller using these novel components.

Related Experiment Videos

  • Utilizing pulsed voltage inputs and outputs for control signal representation.
  • Exploiting parallelism, aggregation, and redundancy in circuit design.

    • Main Results:

    • The developed VLSI servo controller is orders of magnitude smaller than conventional systems.
    • Pulsed output representation significantly improves slow-speed operation in friction-limited systems.
    • The system demonstrates robust performance despite imprecise low-level components.

    Conclusions:

    • Neuronlike components and pulsed signal processing offer a viable approach for creating compact and efficient servo controllers.
    • This VLSI design provides a promising alternative for applications requiring miniaturization and enhanced performance.
    • The study validates the benefits of parallelism, aggregation, and redundancy in achieving system-level improvements.