Related Experiment Video
Updated: Jun 29, 2025

12:03
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
8.4K
Synchronization of time-delay systems with impulsive delay via an average impulsive estimation approach.
1School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China.
Mathematical Biosciences and Engineering : MBE
|March 29, 2024
Summary
This study explores synchronization in dynamic systems with mixed delays and impulses. We found that delays are flexible and impact synchronization, offering improved methods for analysis.
Area of Science:
- Dynamical Systems and Control Theory
- Nonlinear Dynamics
- Control Systems Engineering
Background:
- Synchronization is crucial in various complex systems.
- Systems with mixed delays and delayed impulses present significant analytical challenges.
- Existing methods often have limitations in handling varying impulse thresholds.
Purpose of the Study:
- To investigate and establish sufficient conditions for the synchronization of dynamic systems with mixed delays and delayed impulses.
- To develop novel methods for analyzing the impact of delays and impulses on system synchronization.
- To improve upon existing synchronization criteria by addressing limitations in threshold dependency.
Main Methods:
- Impulsive control method applied to analyze system dynamics.
- Average impulsive interval approach for deriving stability conditions.
- Development of average positive impulsive estimation and average impulsive estimation concepts.
- Integration of impulsive delay information into the rate coefficient.
Main Results:
- Lyapunov sufficient conditions derived for synchronization under impulsive perturbation and control.
- Demonstrated flexibility of delays in continuous systems under impulsive perturbation.
- Showcased that synchronization is not strictly dependent on the size of impulsive delays.
- Established that impulsive delay can maintain synchronization effects even with integrated rate coefficients.
Conclusions:
- The derived conditions offer a more flexible framework for achieving synchronization in complex systems with delays and impulses.
- The proposed estimation concepts overcome limitations of fixed thresholds, enhancing synchronization analysis.
- The findings represent an improvement over previous synchronization results for such systems.
- Numerical examples validate the effectiveness and applicability of the proposed theoretical results.
Related Concept Videos
Sampling Continuous Time Signal
237
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
In the...
237
Linear time-invariant Systems
254
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...
254
Impulse Response
256
The impulse response is the system's reaction to an input impulse. In an RC circuit, the voltage source is the input, and the capacitor's voltage is the output. The system's state and output response before and after input excitation are distinctly defined.
Kirchhoff's law forms an input signal equation, with the capacitor's current and voltage providing the output. Substituting the current and dividing by RC yields a differential equation. The output for an impulse input is...
Kirchhoff's law forms an input signal equation, with the capacitor's current and voltage providing the output. Substituting the current and dividing by RC yields a differential equation. The output for an impulse input is...
256
Time-Domain Interpretation of PD Control
105
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...
105
Linear Approximation in Time Domain
81
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
81
First Order Systems
90
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...
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...
90

