基于信息状态的增强学习用于控制部分观察到的非线性系统
IEEE transactions on neural networks and learning systems
|August 19, 2025
概括
本研究引入了一种新的强化学习 (RL) 方法,用于控制具有不完整信息的复杂非线性系统. 该方法将部分观察到的问题转化为完全观察到的问题,即使在模型不确定性的情况下也可以进行精确的控制.
科学领域:
- 控制理论 控制理论
- 机器学习 机器学习
- 动态系统 动态系统
背景情况:
- 通过部分观测来控制非线性动态系统面临重大挑战.
- 现有的方法经常因模型不确定性和高维度而扎.
研究的目的:
- 开发基于模型的强化学习 (RL) 方法,用于使用部分非线性观测模型对非线性动态系统的闭环控制.
- 用信息状态方法将部分观察到的问题转化为完全观察到的问题.
主要方法:
- 一种信息状态方法将部分观察到的问题转化为完全观察到的问题.
- 为RL开发了一种基于数据的代线性二次调节器 (ILQR) 的数据通用化.
- 局部线性时间变量模型是使用自回归移动平均 (ARMA) 模型从输入输出数据进行近似的.
主要成果:
- 确定了转换和最初部分观察到的最佳控制问题之间的等价性.
- 提供了解决确定性最佳解决方案的条件.
- 一个局部扰动反控制规律是为最佳解决方案而设计的.
结论:
- 开发的RL方法有效地控制了复杂的,高维的非线性系统.
- 这种方法即使在模型和传感不确定性的情况下也显示出有效性.
- 这项工作为部分观察到的最佳控制问题提供了可靠的解决方案.
相关概念视频
Feedback control systems
419
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...
419
Linear Approximation in Time Domain
124
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
124
State Space Representation
285
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
285
Classification of Systems-I
296
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
296
Control Systems
1.4K
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...
1.4K
Open and closed-loop control systems
993
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...
993


