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MPC（Model Predictive Control，模型预测控制）的概念虽然源自工业控制，但它可以应用于很多日常生活中的场景。 为了便于理解，我们可以将其比作自动驾驶中的车速控制。 MPC最大的特点在于，相对于 LQR控制 而言，MPC可以考虑空间状态变量的各种约束，而LQR，PID等控制只能够考虑输入输出变量的各种约束。 文章浏览阅读1.3k次，点赞35次，收藏31次。模型预测控制（MPC）作为一种基于模型的先进控制算法，以其灵活的约束处理能力、强大的多变量协调控制能力和滚动优化的鲁棒性，在复杂工业过程和运动控制等领域发挥着不可替代的作用。尽管MPC存在计算复杂度高、模型依赖性强等局限性，但随着优化.
模型预测控制 (MPC)是一类特殊的控制。 它的当前控制动作是在每一个采样瞬间通过求解一个有限时域开环最优控制问题而获得。 2. 什么是MPC MPC（Model Predictive Control，模型预测控制）的基本思想是通过建立一个系统的动态模型，并在每一个控制时刻使用这个模型来预测系统未来的行为。 模型预测控制 （Model Predictive Control，简称MPC）是一种基于系统模型的先进控制方法，广泛应用于工业过程控制、自动驾驶、机器人控制等多个领域。 MPC的优势在于能够处理多变量系统、约束 优化问题，并且具有较强的鲁棒性和自适应能力。
近日，山东大学计算机学院有三项最新研究成果被国际安全顶会ACM CCS和NDSS录用，充分展示了学院在区块链与应用密码学前沿领域的雄厚实力，获得了国际学术界的进一步认可。成果一：《AD-MPC: Asynchronous Dynamic MPC with Guaranteed Output Delivery》提出异步动态环境下的安全多方计算协议，被ACM CCS 2025录用.
本文深入浅出地介绍了模型预测控制 (MPC)的基本概念、工作原理及其在控制系统中的应用。 通过驾驶汽车的生动例子解释了预测模型、滚动优化、反馈矫正等核心概念，并提供了MPC的数学公式推导及MATLAB代码实现。 Focusing on compactness and customizability, media player classic mimics the simplistic look and feel of windows media player 6.4, but provide most options and features available in modern media players 推荐两个MPC相关的课程第一个是B站上的，这个课程的特点是非常基础，可以帮助初学者理清楚MPC的基本思路。 本文的一部分图片也是来自这个视频。
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