在不确定的环境下对离散事件系统的最佳控制,基于监管控制理论和强化学习
1School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, China.
Scientific reports
|October 24, 2024
概括
本研究引入了一种新的方法,用于在不确定的环境中对离散事件系统 (DES) 进行最佳控制,该方法结合了监督控制理论 (SCT) 和强化学习 (RL). 该方法在复杂的工业应用中提高了系统性能和安全性.
科学领域:
- 控制理论 控制理论
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 离散事件系统 (DES) 对于模拟复杂的工业系统至关重要.
- 经典的监管控制在不确定的环境中与隐含的规范作斗争.
- 需要先进的控制策略来处理不确定性下的DES.
研究的目的:
- 在不确定的条件下开发一种最佳的DES控制方法.
- 将监督控制理论 (SCT) 与强化学习 (RL) 整合起来.
- 在动态环境中提高系统性能和安全性.
主要方法:
- 利用SCT进行深思熟虑的规划和安全的控制.
- 将 DES 模型转换为用于 RL 培训的马尔科夫决策过程 (MDP) 环境.
- 设计基于SCT的RL算法,使用概率状态转换优化性能.
主要成果:
- 在模拟中表现出比非智能方法的8.27%的性能改进.
- 成功地将这种方法应用于自主交付机器人导航任务.
- 验证了综合SCT-RL方法的有效性.
结论:
- 提出的基于SCT的RL方法有效地解决了在不确定的DES中的最佳控制挑战.
- 这项研究促进了在各种行业中对人造物理系统的控制.
- 为提高自主系统性能和安全提供了一条途径.
相关概念视频
Control Systems
1.1K
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...
1.1K
Feedback control systems
292
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...
292
Control Systems: Applications
578
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
578
Controller Configurations
87
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
87
Time-Domain Interpretation of PD Control
84
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...
84
Open and closed-loop control systems
660
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...
660


