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 design methodology for nonlinear systems containing parameter uncertainty.

G E Young1, D M Auslander

  • 1School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater 74078, USA.

Journal of Dynamic Systems, Measurement, and Control
|March 1, 1984
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

A hierarchical approach to the sustainable management of Controlled Ecological Life Support Systems: part 1, an ecological and engineering synthesis.

Life support & biosphere science : international journal of earth space·2001
Same author

A hierarchical approach to the sustainable management of controlled ecological life support systems: part 2, systems realization and analysis.

Life support & biosphere science : international journal of earth space·2001
Same author

The role of the crista terminalis in atrial flutter and fibrillation: a computer modeling study.

Annals of biomedical engineering·2000
Same author

Further evidence that zinc sulphate compromises the efficacy of dipping treatments using diazinon to control sheep lice (Bovicola ovis).

Australian veterinary journal·1998
Same author

Deconvolution: a novel signal processing approach for determining activation time from fractionated electrograms and detecting infarcted tissue.

Circulation·1996
Same author

The detection of lice (Bovicola ovis) in mobs of sheep: a comparison of fleece parting, the lamp test and the table locks test.

Australian veterinary journal·1996
Same journal

A Probabilistic Approach for Contact Stability and Contact Safety Analysis of Robotic Intracardiac Catheter.

Journal of dynamic systems, measurement, and control·2021
Same journal

Contact Stability and Contact Safety of a Magnetic Resonance Imaging-Guided Robotic Catheter Under Heart Surface Motion.

Journal of dynamic systems, measurement, and control·2021
Same journal

Optimal Control for Partially Observed Nonlinear Interval Systems.

Journal of dynamic systems, measurement, and control·2021
Same journal

Observer-Based Deconvolution of Deterministic Input in Coprime Multichannel Systems With Its Application to Noninvasive Central Blood Pressure Monitoring.

Journal of dynamic systems, measurement, and control·2020
Same journal

Simultaneous Kinematic and Contact Force Modeling of a Human Finger Tendon System Using Bond Graphs and Robotic Validation.

Journal of dynamic systems, measurement, and control·2020
Same journal

Decentralized Passivity-Based Control With a Generalized Energy Storage Function for Robust Biped Locomotion.

Journal of dynamic systems, measurement, and control·2019
See all related articles

This study introduces a novel design methodology for nonlinear systems with uncertain parameters. It uses sensitivity analysis and random search to optimize system performance despite parameter variations.

Area of Science:

  • Engineering
  • Systems Analysis
  • Control Theory

Background:

  • Nonlinear systems often exhibit complex behaviors.
  • Parameter uncertainty poses significant challenges in system design and performance prediction.
  • Existing methodologies may struggle to robustly handle both nonlinearity and uncertainty.

Purpose of the Study:

  • To present a new design methodology for nonlinear systems with parameter uncertainty.
  • To enhance the reliability of system performance by addressing parameter variations.
  • To optimize system design under conditions of uncertainty.

Main Methods:

  • Incorporation of generalized sensitivity analysis.
  • Utilizing sampling of the parameter space.
  • Employing statistical inference and an adaptive random search strategy.

Related Experiment Videos

  • Determining optimal adjustable parameter values.

    • Main Results:

    • The methodology effectively handles nonlinear systems with parameter uncertainty.
    • It maximizes the probability of performance indices satisfying design criteria.
    • Identifies optimal combinations of adjustable parameters under uncertainty.

    Conclusions:

    • The presented methodology offers a robust approach to designing nonlinear systems with uncertain parameters.
    • It provides a framework for optimizing system performance by accounting for parameter variations.
    • This approach improves the predictability and reliability of engineered systems.