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 Concept Videos

Pole and System Stability01:24

Pole and System Stability

1.2K
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
1.2K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

424
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
424
Second Order systems II01:18

Second Order systems II

483
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
483
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

397
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
397
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

513
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
513
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

1.2K
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Global temperature anomaly prediction by using additive twin LSTM networks.

Scientific reports·2026
Same author

An Evolutionary Field Theorem: Evolutionary Field Optimization in Training of Power-Weighted Multiplicative Neurons for Nitrogen Oxides-Sensitive Electronic Nose Applications.

Sensors (Basel, Switzerland)·2022
Same author

2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method.

Journal of advanced research·2020
Same author

Disturbance rejection FOPID controller design in v-domain.

Journal of advanced research·2020
Same author

Reference-shaping adaptive control by using gradient descent optimizers.

PloS one·2017
Same author

Hurwitz stability analysis of fractional order LTI systems according to principal characteristic equations.

ISA transactions·2017
Same journal

Hybrid vehicle state estimation using closed-form liquid neural networks and nonlinear Kalman filtering.

ISA transactions·2026
Same journal

Cross-coupled synchronization control strategy for rebar binding robots based on impedance control.

ISA transactions·2026
Same journal

Gas flow tracking for electronic pressure control system in gas chromatography under state constraints and hysteresis:An innovative fuzzy adaptive control approach.

ISA transactions·2026
Same journal

Stackelberg differential game-based fuzzy adaptive hierarchical optimal control for a nonlinear system with unknown dynamics.

ISA transactions·2026
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.2K

An integer order approximation method based on stability boundary locus for fractional order derivative/integrator

Furkan Nur Deniz1, Baris Baykant Alagoz1, Nusret Tan1

  • 1Inonu University, Department of Electrical and Electronics Engineering, Turkey.

ISA Transactions
|February 16, 2016
PubMed
Summary
This summary is machine-generated.

This study presents an integer order approximation method for fractional order operators in control systems. The stability boundary locus (SBL) fitting ensures stability preservation in approximate models.

Keywords:
Fractional order control systemFractional order operatorsInteger order approximationStability boundary locus

More Related Videos

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

686
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.0K

Related Experiment Videos

Last Updated: Mar 25, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.2K
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

686
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.0K

Area of Science:

  • Control Systems Engineering
  • Numerical Methods
  • Systems Approximation

Background:

  • Fractional order calculus offers advanced modeling capabilities for complex systems.
  • Numerical implementation of fractional order operators in control systems presents challenges.
  • Stability analysis is crucial for feedback control system design.

Purpose of the Study:

  • To introduce an integer order approximation method for fractional order derivative/integrator operators.
  • To ensure stability preservation in the numerical implementation of fractional order control systems.
  • To provide a straightforward method for approximating fractional order systems with integer order models.

Main Methods:

  • The proposed method involves fitting the stability boundary locus (SBL) of fractional order operators with SBL of integer order transfer functions.
  • Matching SBL curves in a limited frequency range allows for accurate approximation.
  • The method is validated through illustrative examples and comparison with existing approximation techniques.

Main Results:

  • The SBL fitting method effectively approximates fractional order operators and systems using integer order models.
  • The proposed approach successfully preserves the stability of the approximated models.
  • Performance is demonstrated through examples, including the approximation of fractional order PID controllers.

Conclusions:

  • The stability boundary locus fitting method provides a robust and effective way to obtain integer order approximations of fractional order systems.
  • This method facilitates the numerical implementation of fractional order control strategies by ensuring stability.
  • The approach is applicable to various control applications, including fractional order PID controllers.