具有隐私保护和未知的干扰的多代理系统的预定义时间安全合作控制
IEEE transactions on cybernetics
|October 1, 2025
概括
本研究引入了多代理系统的新型预定义时间安全合作控制方案,即使在相互冲突的命令中也能确保安全. 它增强了隐私,并处理未知的干扰,以确保可靠的系统性能.
科学领域:
- 控制工程 控制工程 控制工程
- 机器人技术 机器人技术 机器人技术
- 网络安全 网络安全
背景情况:
- 当命令违反安全边界时,现有的输出受限方法会失败.
- 多代理系统需要在不确定性和隐私问题下进行强有力的控制.
研究的目的:
- 为多代理系统开发预定义时间的安全合作控制方案.
- 同时解决输出约束,隐私保护和未知的干扰.
- 确保安全遵守,无论最初的命令是否符合安全限制.
主要方法:
- 实施了加密解密机制,以确保安全的代理通信.
- 开发了一种改进的边界保护方法,用于生成安全参考轨迹.
- 设计适应性规律以减轻未知的非线性和干扰.
- 在控制器设计中利用了预定义时间稳定性理论.
主要成果:
- 拟议的方案确保严格遵守输出约束,即使是不安全的命令.
- 通过安全的信息交换来实现隐私保护.
- 适应性法律有效地弥补了未知的干扰和非线性.
- 控制器保证在用户定义的结算时间内实现错误的趋同.
结论:
- 预定义时间的安全合作控制方案在理论上是合理的,在实践中是有效的.
- 该方法提高了多代理系统的安全性,隐私性和稳定性.
- 这种方法为具有严格安全要求的复杂控制场景提供了可靠的解决方案.
相关概念视频
Time-Domain Interpretation of PD Control
375
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...
375
BIBO stability of continuous and discrete -time systems
887
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....
887
Propagation of Uncertainty from Systematic Error
1.4K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.4K
Propagation of Uncertainty from Random Error
1.8K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.8K
Masking and Demasking Agents
3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.4K
Uncertainty: Overview
1.6K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.6K


