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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

469
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...
469
PD Controller: Design01:26

PD Controller: Design

731
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,...
731
PI Controller: Design01:24

PI Controller: Design

1.5K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.5K
Feedback control systems01:26

Feedback control systems

801
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...
801
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.6K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.6K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

2.2K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Identification of small-molecule HSF1 amplifiers by high content screening in protection of cells from stress induced injury.

Biochemical and biophysical research communications·2009
Same author

Nanowire transformation by size-dependent cation exchange reactions.

Nano letters·2009
Same author

Effect of haishengsu as an adjunct therapy for patients with advanced renal cell cancer: a randomized and placebo-controlled clinical trial.

Journal of alternative and complementary medicine (New York, N.Y.)·2009
Same author

Identification of inhibitors of HSF1 functional activity by high-content target-based screening.

Journal of biomolecular screening·2009
Same author

Antitumor effects of targeting hTERT lentivirus-mediated RNA interference against KB cell lines.

Oncology research·2009
Same author

Characteristics of emissive spectrum and the removal of nitric oxide in N2/02/NO plasma with argon additive.

Journal of environmental sciences (China)·2009

Related Experiment Video

Updated: Apr 10, 2026

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

5.3K

Perturbation-based model predictive control for uncertain systems with amplify-and-forward relays.

Lingling Zhang1, Yan Song1, Bin Zhang2

  • 1Department of Control Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai 200093, China.

ISA Transactions
|April 8, 2026
PubMed
Summary

This study introduces perturbation-based model predictive control (MPC) for uncertain systems using amplify-and-forward (AmF) relays. The method enhances signal quality and reduces computational load, ensuring system stability.

Keywords:
Amplify-and-forward relaysMean-square stabilityParameter uncertaintyPerturbation-based model predictive controlRecursive feasibility

Related Experiment Videos

Last Updated: Apr 10, 2026

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

5.3K

Area of Science:

  • Control Systems Engineering
  • Wireless Communication Systems
  • Signal Processing

Background:

  • Signal degradation in wireless channels due to fading necessitates relay usage.
  • Amplify-and-forward (AmF) relays improve signal integrity but introduce complexities in control.
  • Existing model predictive control (MPC) methods face computational challenges with uncertain systems.

Purpose of the Study:

  • To develop a perturbation-based MPC strategy for uncertain systems with AmF relays.
  • To reduce the online computational burden of MPC.
  • To enlarge the initial feasible region for control system design.

Main Methods:

  • Formulation of an infinite-time quadratic function using mathematical expectation to handle uncertainties.
  • Development of optimization problems with offline and online components using inequality analysis.
  • Establishment of sufficient criteria for ensuring mean-square stability of the closed-loop system.

Main Results:

  • A novel perturbation-based MPC approach is proposed for systems with AmF relays.
  • The method effectively addresses uncertainties and transmission power randomness.
  • Sufficient conditions for mean-square stability of the closed-loop system are derived.

Conclusions:

  • The proposed perturbation-based MPC strategy is effective for uncertain systems with AmF relays.
  • Numerical simulations and practical experiments validate the proposed control strategy.
  • The approach offers improved computational efficiency and stability guarantees.