数据驱动控制系统（Data-Driven Control System, DDCS）是一种以系统输入输出数据为基础设计控制器的方法...
数据驱动控制系统(Data-driven Control System)是一种控制系统设计方法,它直接利用从系统中收集的数据来设计控制器,而不是依赖于传统的基于模型的控制策略。这种方法的核心思想是通过分析实际系统的输入输出数据,来识别系统的动态行为和控制策略,进而实现对系统的有效控制。数据驱动控制系统在处理复杂系统或者模型难以准确获...
Learn about the products that support AI and data-driven control techniques for control system design applications. Simulink Control Design Model Predictive Control Toolbox System Identification Toolbox Reinforcement Learning Toolbox Fuzzy Logic Toolbox ...
A method comprises determining respective aperiodic intervals for each of a plurality of sensors to obtain performance measurements of one or more subsystems; predicting performance values of the one or more subsystems based on historical data; outputting the predicted performance values in real-time ...
From the series:Data-Driven Control Brian Douglas Get an introduction to extremum seeking control—an adaptive control method for finding an optimal control input or set of system parameters without needing a model of your system, static system dynamics, or a non-quadratic cost or objective f...
This study investigates the consensus tracking problem for unknown multi-agent systems (MASs) with time-varying communication topology by using the methods of data-driven control and model predictive control. Under the proposed distributed iterative protocol, sufficient conditions for reducing tracking error...
production system can be improved by developing effective data-driven control methods that utilize this information. We focus on the following research questions:how can the decision to produce or not to produce at any time be given depending on the real-time information about a production system?
Further, methods for co‐designing the controller gain and the event‐triggering matrix are subsequently provided without using any prior knowledge of the system matrices. Finally, numerical examples are presented to corroborate ...
control design procedure. That is, one first identifies a model of the system from the available data and then computes the desired controls using the estimated model24. However, identification algorithms are sometimes inaccurate and time-consuming, and several direct data-driven methods have been ...
DAQ systems are instrumental in capturing and recording data from various sensors, crucial for monitoring physical or electrical phenomena. These systems empower engineers with data-driven insights, allowing them to make more informed decisions in areas such as: ...