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

Feedback control systems01:26

Feedback control systems

361
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
361
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

111
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,...
111
PD Controller: Design01:26

PD Controller: Design

306
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
306
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

88
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
88
Open and closed-loop control systems01:17

Open and closed-loop control systems

856
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
856
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

154
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
154

You might also read

Related Articles

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

Sort by
Same author

Community-Led Transformation in Practice: A Framework for Trust-Driven Community-Academic Partnerships to Advance Public Health.

Journal of immigrant and minority health·2026
Same author

Game, Set, and Match: A Scoping Review of Matching Characteristics for Control and Intervention Groups in Adaptive Behavioral Interventions for Physical Activity or Healthy Eating Designs for Populations with Overweight and Obesity.

Behavioral medicine (Washington, D.C.)·2026
Same author

Bridging the divide in digital therapeutics (DTx): Partnership strategies for broader representation across DTx development and deployment.

PLOS digital health·2026
Same author

An Early-Stage Digital Therapeutic Intervention to Enhance Affective Response During Physical Activity Among Adults With Overweight or Obesity: Benchmark-Driven Formative Testing Study.

JMIR human factors·2026
Same author

A Scoping Review of Sensor-Based Capture of Eating and Drinking Occasions That Could Be Used for Enhancing Personalized Nutrition Interventions in Real Time.

Advances in nutrition (Bethesda, Md.)·2025
Same author

Gut microbiota variation drives differential performance in leaf beetles across host plants.

Microbiome·2025
Same journal

Data-Driven Pattern Formation in Oscillator Networks Using Partial Observations.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2026
Same journal

Sequential design of single-cell experiments to identify discrete stochastic models for gene expression.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2025
Same journal

Optimal experiment design with applications to Pharmacokinetic modeling.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2025
Same journal

Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2025
Same journal

Accommodation of Pulsed Field Gradients with Cascade Field Regulation in Powered Magnets.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2024
Same journal

A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2023
See all related articles

Related Experiment Video

Updated: Aug 6, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.5K

A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to

Owais Khan1, Mohamed El Mistiri1, Daniel E Rivera1

  • 1Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control
|March 20, 2023
PubMed
Summary
This summary is machine-generated.

Hybrid Model Predictive Control (HMPC) offers a new way to encourage physical activity in sedentary adults. This advanced control strategy helps manage behavioral interventions like Just Walk, improving user engagement and adherence.

More Related Videos

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

Related Experiment Videos

Last Updated: Aug 6, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.5K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

Area of Science:

  • Behavioral Medicine
  • Control Systems Engineering
  • Computational Health

Background:

  • Sedentary lifestyles pose significant health risks.
  • Novel interventions are needed to increase physical activity.
  • Behavioral interventions require robust decision-making tools.

Purpose of the Study:

  • To develop and illustrate a Hybrid Model Predictive Control (HMPC) formulation for behavioral interventions.
  • To apply HMPC to a mixed logical dynamical (MLD) system model for increasing physical activity.
  • To enhance controller robustness and performance through disturbance rejection and anticipation.

Main Methods:

  • Developed a broad-based HMPC formulation for MLD systems.
  • Modeled participant behavior based on daily step goals and categorical inputs.
  • Incorporated slack variables to ensure feasibility of the mixed-integer quadratic problem (MIQP).
  • Utilized three degrees-of-freedom tuning for setpoint tracking and disturbance rejection.

Main Results:

  • The HMPC scheme effectively managed hybrid dynamics and setpoint tracking.
  • Demonstrated robust disturbance rejection and anticipation capabilities.
  • Successfully managed transitions between intervention phases (initiation and maintenance).
  • Simulation results showed the suitability for clinical trials.

Conclusions:

  • HMPC is a viable decision-making tool for behavioral interventions.
  • The proposed HMPC formulation enhances physical activity promotion.
  • The approach shows promise for improving adherence in sedentary adults.