对于具有混合延迟依赖冲动的变量级分数复杂动态网络的准同步
Chen Wei1, Xiaoping Wang1, Fangmin Ren1
1School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China.
概括
这项研究研究了复杂的动态网络中的准同步与变量顺序的分数导数和混合冲动. 一个新的标准确保了网络同步,通过数值示例验证.
科学领域:
- 复杂的动态网络复杂的动态网络.
- 分数微积分的微积分计算.
- 控制理论 控制理论 控制理论
背景情况:
- 异构的变量级分数复杂动态网络 (VFCDNs) 提出了独特的同步挑战.
- 混合延迟依赖的冲动和不匹配的参数使网络动态变得复杂.
研究的目的:
- 为具有短内存的VFCDNs建立一个更实用的数学模型.
- 开发一种新的标准,以实现VFCDNs与混合延迟依赖脉冲的准同步.
主要方法:
- 在变量级分数导数框架下开发一种新的分数差异不等式.
- 差异性纳入理论和利亚普诺夫方法的应用.
- 为具有多重权重网络和不匹配参数的VFCDNs构建数学模型.
主要成果:
- 在混合延迟依赖脉冲的VFCDNs中获得了准同步的新标准.
- 通过数值模拟,证明拟议的模型和标准是实际和可行的.
结论:
- 这项研究成功地解决了复杂的VFCDNs与混合冲动的准同步问题.
- 这些发现有助于对这些动态系统的理论理解和实际控制.
相关概念视频
Linear time-invariant Systems
258
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...
258
BIBO stability of continuous and discrete -time systems
395
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....
395
First Order Systems
92
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...
92
Second Order systems II
111
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
111
Difference Equation Solution using z-Transform
293
The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
293
Transmission-Line Differential Equations
295
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
295


