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

Feedback control systems

Feedback control systems

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...

Control Systems

Control Systems

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...

Control Systems: Applications

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. 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.

Transmission Line Design Considerations

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...

Control System Problem

Control System Problem

In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...

You might also read

Related Articles

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

Sort by

Same author

[Karyomorphology research in seven kinds of dandelion in Northeast].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2012

Same author

A silver(I)-catalyzed tandem reaction of 2-alkynylbenzaldoxime with alkylidenecyclopropane.

Organic letters·2012

Same author

An unexpected silver triflate-catalyzed tandem reaction of N'-(2-alkynylbenzylidene)hydrazide with ketene.

Chemical communications (Cambridge, England)·2012

Same author

Generation of polyfluoroaryl-fused H-pyrazolo[5,1-a]isoquinolines through a reaction of N'-(2-alkynylbenzylidene)hydrazide with polyfluoroarene.

Chemistry, an Asian journal·2012

Same author

Cooperation of protease-activated receptor 1 and integrin ανβ5 in thrombin-mediated lung cancer cell invasion.

Oncology reports·2012

Same author

α7 nicotinic acetylcholine receptor-mediated neuroprotection against dopaminergic neuron loss in an MPTP mouse model via inhibition of astrocyte activation.

Journal of neuroinflammation·2012

Search research articles

Related Experiment Video

Updated: Apr 4, 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

Optimal performance of networked control systems with bandwidth and coding constraints.

Xi-Sheng Zhan¹, Xin-xiang Sun¹, Tao Li²

¹College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi 435002, China.

ISA Transactions

|September 10, 2015

Summary

This study optimizes tracking performance for networked control systems. Optimal performance depends on system dynamics, reference signals, encoding, bandwidth, and noise.

Keywords:

Bandwidth Coding constraints Networked control systems Optimal tracking performance

Related Experiment Videos

Last Updated: Apr 4, 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

Area of Science:

Control Systems Engineering
Signal Processing
Information Theory

Background:

Networked control systems (NCS) face challenges due to communication constraints.
Multiple-Input Multiple-Output (MIMO) systems introduce complexity in control design.
Bandwidth and coding limitations significantly impact NCS performance.

Purpose of the Study:

To determine the optimal tracking performance for MIMO discrete-time NCS.
To analyze the influence of system dynamics and communication channel characteristics on performance.
To provide a framework for designing NCS under bandwidth and coding constraints.

Main Methods:

Utilized spectral factorization technique for optimal control.
Applied partial fraction expansion for system analysis.
Investigated the impact of nonminimum phase zeros and unstable poles.
Evaluated effects of reference signal properties, encoding schemes, and channel noise (AWGN).

Main Results:

Optimal tracking performance is sensitive to plant dynamics, specifically nonminimum phase zeros and unstable poles.
Communication channel characteristics, including bandwidth and additive white Gaussian noise (AWGN), critically affect performance.
Reference signal properties and encoding strategies also play a significant role in achievable tracking accuracy.

Conclusions:

System pole-zero locations and communication channel parameters are key determinants of optimal NCS tracking performance.
Careful consideration of reference signal design and encoding is necessary for robust NCS.
The findings offer insights for designing efficient and high-performance MIMO discrete-time NCS.