强大的非脆弱的MAS的共识控制与控制器获取干扰和切换定向网络
IEEE transactions on cybernetics
|October 9, 2025
概括
本研究提出了一个强大的非脆弱的共识控制器,用于面临干扰和网络变化的非线性多代理系统 (MAS). 该方法确保了系统稳定性,尽管控制器增强干扰和交换网络.
科学领域:
- 控制理论 控制理论
- 网络化系统 网络化系统
- 非线性动力学是一种非线性动力学.
背景情况:
- 多代理系统 (MAS) 对分布式任务至关重要.
- 由于外部干扰和网络不确定性,在MAS中达成共识是具有挑战性的.
- 强大而不脆弱的控制对于可靠的MAS运行至关重要.
研究的目的:
- 调查非线性MAS的强有力的非脆弱的无领导者共识控制.
- 为应对控制器增强干扰,外部干扰和切换定向网络所带来的挑战.
- 开发一种新的分布式非脆弱共识控制器.
主要方法:
- 设计了一个新的分布式非脆弱的共识控制器.
- 共识控制问题被转换为一个非对称的稳定性控制问题,使用基于拉普拉斯矩阵属性的变量替换.
- 利亚普诺夫稳定理论和代数图形理论被用来推导稳定条件.
主要成果:
- 提出并证明了MASs的非对称稳定性的足够条件.
- 控制器证明了对控制器增强干扰和切换网络的稳定性.
- 拟议方法的有效性通过模拟示例来验证.
结论:
- 开发的分布式非脆弱共识控制器确保了非线性MAS的非对称稳定性.
- 拟议的方法在存在重大系统不确定性时,为共识控制提供了强有力的解决方案.
- 这些发现有助于推进复杂的多代理系统的可靠控制策略.
相关概念视频
Feedback control systems
685
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...
685
Open and closed-loop control systems
1.6K
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...
1.6K
Control Systems
1.8K
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...
At the heart...
1.8K
PD Controller: Design
622
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
622
Current Growth And Decay In RL Circuits
4.5K
The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
4.5K
Time-Domain Interpretation of PD Control
371
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...
371


