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

Related Concept Videos

Block Diagram Reduction

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

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...

Time-Domain Interpretation of PD Control

Time-Domain Interpretation of PD Control

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...

State Space Representation

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...

Linear Approximation in Frequency Domain

Linear Approximation in Frequency Domain

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....

PD Controller: Design

PD Controller: Design

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,...

You might also read

Related Articles

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

Sort by

Same author

Circular RNA hsa_circ_0008285 inhibits colorectal cancer cell proliferation and migration via the miR-382-5p/PTEN axis.

Biochemical and biophysical research communications·2020

Same author

Identification and transcriptional response of ATP-binding cassette transporters to chlorantraniliprole in the rice striped stem borer, Chilo suppressalis.

Pest management science·2020

Same author

The Methods of Reserving Integrity of Seriously Damaged Cavernous Carotid in the Management of Traumatic Carotid-Cavernous Fistula.

The Journal of craniofacial surgery·2020

Same author

A phase Ⅱ, randomized, controlled trial to evaluate the safety and immunogenicity of a Sabin strain-based inactivated polio vaccine.

Human vaccines & immunotherapeutics·2020

Same author

Epigallocatechin gallate enhances the motor neuron survival and functional recovery after brachial plexus root avulsion by regulating FIG4.

Folia neuropathologica·2020

Same author

Rationally designed surface microstructural features for enhanced droplet jumping and anti-frosting performance.

Soft matter·2020

Search research articles

Related Experiment Video

Updated: Jun 29, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Dimensionality Reduction Method for the Output Regulation of Boolean Control Networks.

Shihua Fu, Jun-E Feng, Yuan Zhao

IEEE Transactions on Neural Networks and Learning Systems

|April 3, 2024

Summary

This study introduces a new dimensionality reduction method for Boolean control networks (BCNs) output regulation problem (ORP). This approach significantly reduces computational complexity and provides a novel way to design state feedback controls.

More Related Videos

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

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

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

Published on: May 8, 2021

Related Experiment Videos

Last Updated: Jun 29, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

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

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

Published on: May 8, 2021

Area of Science:

Systems Biology
Control Theory
Computational Biology

Background:

Boolean control networks (BCNs) are widely used to model biological systems.
The output regulation problem (ORP) in BCNs is crucial for understanding and controlling biological processes.
Existing methods for ORP in BCNs often suffer from high computational complexity.

Purpose of the Study:

To propose a novel dimensionality reduction approach for the ORP of BCNs.
To reduce the computational complexity associated with solving the ORP in BCNs.
To develop an effective method for designing state feedback controls for BCNs.

Main Methods:

Construction of a significantly smaller auxiliary system compared to previous augmented systems.
Analysis of set stabilization for both the auxiliary system and the original BCN.
Development of a state feedback control design method based on the auxiliary system analysis.

Main Results:

A necessary and sufficient condition for the solvability of the ORP in BCNs was established.
The proposed dimensionality reduction approach demonstrates substantially lower computational complexity.
The effectiveness of the method was validated using two biological examples.

Conclusions:

The developed dimensionality reduction technique offers a computationally efficient solution for the ORP in BCNs.
The new approach provides a practical method for designing state feedback controls in biological network modeling.
This work advances the study of BCNs by providing a more tractable framework for control and analysis.