Related Experiment Video
Updated: Sep 15, 2025

06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
9.1K
A Novel DoS-Attack-Aware Event-Triggered Synchronization Control for Discrete-Time Fuzzy Complex Networks Under
IEEE Transactions on Cybernetics
|July 16, 2025
Summary
This study introduces a novel event-triggered synchronization control for fuzzy complex networks (FCNs) that accounts for cyber attacks. The approach enhances control performance and reduces controller updates using a round-robin protocol and a DoS-attack-aware mechanism.
Area of Science:
- Control Systems Engineering
- Network Science
- Cybersecurity
Background:
- Discrete-time fuzzy complex networks (FCNs) face synchronization challenges due to coupling effects and cyber attacks.
- Limited communication resources necessitate efficient data transmission protocols.
- Denial-of-Service (DoS) attacks pose a significant threat to network stability and control.
Purpose of the Study:
- To investigate the event-triggered (ET) synchronization control problem for discrete-time FCNs under cyber attacks.
- To develop a robust control scheme that mitigates the impact of DoS attacks and communication constraints.
- To improve control performance while minimizing controller update frequency.
Main Methods:
- Introduction of a round-robin (RR) protocol to manage communication order among coupled nodes.
- Proposal of the average dwelling time ratio (ADTR) for evaluating DoS attack models.
- Development of a DoS-attack-aware ET mechanism with a dynamically adjusted threshold.
- Co-design of anti-attack security control and ET mechanism.
- Establishment of Lyapunov functions to derive synchronization criteria.
Main Results:
- Sufficient criteria for the synchronization of discrete-time FCNs were obtained.
- A controllable range for the ADTR was calculated.
- The proposed scheme demonstrated improved control performance compared to existing methods.
- Controller update frequency was significantly reduced.
Conclusions:
- The developed DoS-attack-aware ET control scheme based on the RR protocol is effective for FCN synchronization.
- The integrated approach successfully addresses coupling effects, cyber attacks, and communication limitations.
- The findings offer a more general and flexible solution against DoS attacks.
Related Concept Videos
BIBO stability of continuous and discrete -time systems
523
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
523
Time and frequency -Domain Interpretation of Phase-lag Control
150
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
150
Time-Domain Interpretation of PD Control
182
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...
Consider the example of control of motor torque. Initially, a positive...
182
Network Function of a Circuit
392
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.
392
Linear time-invariant Systems
436
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...
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...
436
Basic Discrete Time Signals
307
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
307

