Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 28, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Predictive functional control for active queue management in congested TCP/IP networks.

N Bigdeli¹, M Haeri

¹Linear Systems Control Lab., EE Department, IKIU, Qazvin, Iran.

ISA Transactions

|November 11, 2008

Summary

This summary is machine-generated.

Related Concept Videos

Load-frequency control

Load-frequency control

Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...

Maximum Power Flow and Line Loadability

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.

The Power Flow Problem and Solution

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the power flow program computes the...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

Transfer Function in Control Systems

Transfer Function in Control Systems

The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

You might also read

Related Articles

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

Sort by

Same author

Comparison of the efficacy of 4% articaine with epinephrine 1:100,000 and 2% lidocaine with epinephrine 1:100,000 buccal infiltration for single maxillary molar extraction: a double-blind, randomised, clinical trial.

The British journal of oral & maxillofacial surgery·2021

Same author

Maryland's Experience With the COVID-19 Surge: What Worked, What Didn't, What Next?

The American journal of bioethics : AJOB·2020

Same author

Design of a robust model predictive controller with reduced computational complexity.

ISA transactions·2014

Same author

Hypoglycemia leads to age-related loss of vision.

Proceedings of the National Academy of Sciences of the United States of America·2006

Same author

Modeling of pain using artificial neural networks.

Journal of theoretical biology·2002

Same author

Dissociation between interleukin-1 beta-induced expression of mRNA for superoxide dismutase and nitric oxide synthase in insulin-producing cells.

Biochemical and biophysical research communications·1994

Same journal

Prescribed-time event-triggered resilient containment control for multiagent systems against DoS attacks and disturbances.

ISA transactions·2026

Same journal

Incremental learning with prototype calibration and dynamic proxy for wind turbine fault diagnosis under time-varying operating conditions.

ISA transactions·2026

Same journal

Optimization of mode discerning control for nonlinear hybrid systems subject to unknown inputs with applications to active fault diagnosis.

ISA transactions·2026

Same journal

Convergence evaluation of optimization-based stochastic iterative learning control.

ISA transactions·2026

Same journal

Adaptive utility-aware event-triggered reinforcement learning for hybrid attack scheduling against remote state estimation.

ISA transactions·2026

Same journal

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

ISA transactions·2026

See all related articles

Predictive Functional Control (PFC) offers a robust Active Queue Management (AQM) solution for TCP networks with Explicit Congestion Notification (ECN). This novel method enhances network performance by managing delays and disturbances effectively.

Area of Science:

Computer Science
Network Engineering
Control Systems

Background:

Active Queue Management (AQM) is crucial for modern TCP networks.
Existing AQM methods face challenges in high-speed, dynamic environments.
Explicit Congestion Notification (ECN) requires sophisticated AQM for optimal performance.

Purpose of the Study:

To propose Predictive Functional Control (PFC) as a novel AQM method.
To enhance queue regulation and resource utilization in TCP/AQM networks.
To improve robustness against system uncertainties and disturbances.

Main Methods:

Designing a PFC controller based on a linearized fluid-flow model.
Deriving the closed-loop transfer function for robustness analysis.

Related Experiment Videos

Last Updated: Jun 28, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Conducting analytical and ns-2 packet-level simulations for performance evaluation.

Main Results:

PFC demonstrates superior performance in queue regulation and link utilization compared to RED, PI, and REM.
The controller exhibits fast response, low queue fluctuations, and reduced delay jitter.
Robustness analysis confirms effective disturbance rejection and scalability.

Conclusions:

PFC is a highly effective and robust AQM method for high-speed TCP networks with ECN.
Its simplicity and low computational load make it suitable for practical deployment.
PFC offers significant advantages over traditional AQM algorithms.