在网络攻击下,随机非线性系统的滑动模式模糊控制
IEEE transactions on cybernetics
|July 10, 2023
概括
本研究介绍了面临网络攻击的非线性系统的集成滑动模式控制 (ISMC). 拟议的模糊ISMC方案在随机条件和网络威胁下确保系统稳定性和边界状态.
科学领域:
- 控制理论 控制理论
- 非线性系统是非线性系统.
- 网络物理系统 网络物理系统
背景情况:
- 研究具有随机动态的非线性系统的集成滑动模式控制 (ISMC).
- 解决影响控制系统性能和稳定的网络攻击的挑战.
- 使用Takagi-Sugeno模糊模型来表示复杂的非线性随机系统.
研究的目的:
- 为遭受网络攻击的非线性随机系统开发和分析一个动态整体滑动模式控制 (ISMC) 方案.
- 确保与整体滑动表面的有限时间收,并保证闭环稳定性.
- 为了证明所有信号的边界性和系统状态的非对称随机稳定性.
主要方法:
- 使用伊托型随机微分方程建模控制系统和网络攻击.
- 应用通用动态整体滑动模式控制 (ISMC) 方案.
- 使用线性矩阵不等式 (LMI) 来分析系统稳定性和性能.
- 使用Takagi-Sugeno模糊模型方法用于非线性系统表示.
主要成果:
- 拟议的模糊ISMC方案将系统轨迹限制在有限时间内的整体滑动表面.
- 通过使用线性矩阵不等式来保证受网络攻击的闭环系统的稳定性.
- 闭环系统中的所有信号都被证明是有界的,在特定条件下实现了非对称的随机稳定性.
结论:
- 开发的动态模糊ISMC有效控制易受网络攻击的非线性随机系统.
- 控制策略确保了有限时间的融合和强大的稳定性,防止外部干扰和对抗行动.
- 倒置的摆形示例验证了拟议的控制方案的实际适用性和有效性.
更多相关视频
06:45Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
1.7K
14:18Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
Published on: February 28, 2016
11.5K
相关概念视频
01:26Feedback control systems
349
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...
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...
349
01:17Open and closed-loop control systems
822
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
822
01:21Transfer Function in Control Systems
584
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
To derive the transfer function, consider a general nth-order linear time-invariant...
584
01:23Linear time-invariant Systems
297
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...
297
01:07Time-Domain Interpretation of PD Control
143
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...
143
01:22Multi-input and Multi-variable systems
132
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...
In the absence...
132