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

First Order Systems01:21

First Order Systems

75
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
75
Classification of Systems-II01:31

Classification of Systems-II

123
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
123
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

88
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
88
Linear time-invariant Systems01:23

Linear time-invariant Systems

186
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
186
Naturalistic Observations02:30

Naturalistic Observations

15.3K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.3K
Control Systems01:10

Control Systems

962
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
962

You might also read

Related Articles

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

Sort by
Same author

Biodegradable Self-Powered Electrotherapy Patch for Integrated Smart Wound Management.

Analytical chemistry·2026
Same author

Lactobacillus gasseri alleviates type 2 diabetes via modulation of gut microbiota-host metabolic networks.

Journal of endocrinological investigation·2026
Same author

SSMSNet: Scribble-Supervised Myocardial Scar Segmentation in Late Gadolinium Enhancement Images.

Diagnostics (Basel, Switzerland)·2026
Same author

The gut-lung axis in ARDS: beyond microbial translocation.

Respiratory research·2026
Same author

HPCAL1 promotes colorectal cancer progression via TCF7/p65-mediated Wnt ligand upregulation and Wnt/β-catenin pathway activation.

Oncogenesis·2026
Same author

Mitral regurgitation detection and central/eccentric classification using transformer-based deep learning in multi-view echocardiography.

Journal of applied clinical medical physics·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
Same journal

Fixed-time distributed secondary control for voltage/frequency restoration and power sharing in microgrids under switching topologies.

ISA transactions·2026
Same journal

A robust ATUB-Net for bearing fault diagnosis under unbalanced sample scenarios.

ISA transactions·2026
Same journal

Data-driven trajectory tracking control of UAV systems under a novel probability-selection event-triggered mechanism.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: May 12, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K

A prescribed-time functional observer for systems with unknown input.

Jiatong He1, Jiancheng Zhang1, Yan Wang2

  • 1School of Science, Jiangnan University, Wuxi, 214122, China.

ISA Transactions
|April 18, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for designing prescribed-time functional observers (PTFOs) by reformulating the target vector as an LTI system state. This approach enables accurate estimation within a user-defined time, avoiding common observer jumps.

Keywords:
Existence conditionsFunctional observersPrescribed-time estimation

More Related Videos

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

4.3K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.0K

Related Experiment Videos

Last Updated: May 12, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K
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

4.3K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.0K

Area of Science:

  • Control Systems Engineering
  • Observer Design
  • System Identification

Background:

  • Traditional observer designs often struggle with precise timing constraints.
  • Prescribed-time functional observers (PTFOs) aim to estimate system states within a user-defined time frame.
  • Existing PTFO methods can suffer from undesirable state jumps.

Purpose of the Study:

  • To propose a novel method for designing PTFOs.
  • To address the challenge of state estimation within a user-defined time.
  • To overcome limitations of existing PTFO designs, such as state jumps.

Main Methods:

  • System reformulation to treat the target vector as the state variable of an LTI system.
  • Application of the classical Luenberger state observer to the reformulated system.
  • Extension of the observer design from single-output to multiple-output cases.
  • Formulation of necessary and sufficient conditions for PTFO realization.

Main Results:

  • A PTFO is developed capable of accurately estimating the target vector within a user-defined time.
  • The proposed method effectively extends to multiple-output systems.
  • The observer design avoids the jumps typically observed in Engel's prescribed-time observers.
  • Sufficient and necessary conditions for PTFO realization are derived.

Conclusions:

  • The novel reformulation approach facilitates effective PTFO design.
  • The method provides accurate state estimation with guaranteed timing and avoids state jumps.
  • Explicit conditions for realization allow for pre-implementation compatibility assessment.