Advertisement

Adaptive Control: Stability, Convergence, and Robustness.pdf

  •  5星
  •     浏览量: 0
  •     大小:None
  •      文件类型：None

简介：
《自适应控制：稳定性、收敛性和鲁棒性》一书深入探讨了自适应控制系统的设计原理，重点研究系统的稳定性分析、参数调整过程中的收敛特性以及面对不确定性时的鲁棒性能。适合自动控制领域的研究人员和工程师阅读参考。 Adaptive control focuses on stability, convergence, and robustness.

全部评论 (0)

还没有任何评论哟~
客服
客服
客服关闭
  • Adaptive Control: Stability, Convergence, and Robustness.pdf
    优质
    《自适应控制：稳定性、收敛性和鲁棒性》一书深入探讨了自适应控制系统的设计原理，重点研究系统的稳定性分析、参数调整过程中的收敛特性以及面对不确定性时的鲁棒性能。适合自动控制领域的研究人员和工程师阅读参考。 Adaptive control focuses on stability, convergence, and robustness.
     
  • Power System Stability and Control - Kundur.pdf
    优质
    本书《电力系统稳定与控制》由Kundur撰写，全面阐述了电力系统的稳定性理论及控制策略，是该领域的经典之作。 Power System Stability and Control is a book authored by Kundur. It provides comprehensive coverage of the concepts, theories, and methods related to power system stability analysis and control strategies. The text delves into various aspects such as small signal stability, transient stability, voltage stability, along with advanced topics like wide-area measurement systems (WAMS) for improved monitoring and control in modern electrical grids.
     
  • Nonlinear and Adaptive Control Design (Krstic and Kokotovic, 1995)
    优质
    《非线性和自适应控制设计》（Krstić和Kokotović著，1995）一书深入探讨了复杂系统中的非线性及自适应控制理论与应用，为工程师和研究人员提供了宝贵的设计工具。 这本书是由 Krstic 在1995年出版的关于Back-stepping Control Method的经典著作，此资源为影印版，但不存在内容缺失的问题。
     
  • Model-Free Adaptive Control: Theory and Applications
    优质
    《Model-Free Adaptive Control: Theory and Applications》一书全面介绍了无模型自适应控制理论及其在各个领域的应用实践，为复杂系统的控制问题提供了创新解决方案。 by Hou, Zhongsheng Jin, Shangtai Introduction ...........................................................................................1 1. Model-Based Control ........................................................................ 1 1.1 Modeling and Identification ......................................................... 1 1.2 Model-Based Controller Design ...................................................3 2. Data-Driven Control .........................................................................5 2.1 Definition and Motivation of Data-Driven Control .....................6 2.2 Object of Data-Driven Control Methods..............................7 2.3 Necessity of Data-Driven Control Theory and Methods ....8 2.4 Brief Survey on Data-Driven Control Methods..................10 2.5 Summary of Data-Driven Control Methods.......................15 3. Preview of the Book.........................................................................16 Recursive Parameter Estimation for Discrete-Time Systems................ 19 2. Introduction ....................................................................................19 2. Parameter Estimation Algorithm for LinearlyParameterized Systems.............................................................20 2.1 Projection Algorithm..........................................................21 2.2 Least-Squares Algorithm ....................................................22 3. Parameter Estimation Algorithm for NonlinearlyParameterized Systems..............................................27 3.1 Projection Algorithm and Its Modified Formfor Nonlinearly Parameterized Systems...............................27 3.2 Least-Squares Algorithm and Its Modified Formfor Nonlinearly Parameterized Systems...............................32 4. Conclusions.................................................................................... 44 Dynamic Linearization Approach of Discrete-TimeNonlinear Systems..............................................45 1. Introduction ....................................................................................45 2. SISO Discrete-Time Nonlinear Systems ..........................................47 2.1 Compact Form Dynamic Linearization..............................47 2.2 Partial Form Dynamic Linearization..................................53 2.3 Full Form Dynamic Linearization......................................59 3. MIMO Discrete-Time Nonlinear Systems......................................64 3.1 Compact Form Dynamic Linearization.............................64 3.2 Partial Form Dynamic Linearization.................................66 3.3 Full Form Dynamic Linearization......................................69 4. Conclusions.....................................................................................71 Model-Free Adaptive Control of SISO Discrete-TimeNonlinear Systems...........................................75 1. Introduction ....................................................................................75 2. CFDL Data Model Based MFAC ................................................... 77 2.1 Control System Design...................................................... 77 2.2 Stability Analysis ................................................................80 2.3 Simulation Results..............................................................87 3. PFDL Data Model Based MFAC.....................................................93 3.1 Control System Design.......................................................93 3.2 Stability Analysis ................................................................96 3.3 Simulation Results............................................................104 4. FFDL Data Model Based MFAC...................................................108 4.1 Control System Design.....................................................108 4.2 Simulation Results............................................................113 5. Conclusions................................................................................... 118 Model-Free Adaptive Control of MIMO Discrete-TimeNonlinear Systems..............................................119 1. Introduction .................................................................................. 119 2. CFDL Data Model Based MFAC ..................................................120 2.1 Control System Design.....................................................120 2.2 Stability Analysis ..............................................................124 2.3 Simulation Results............................................................132
     
  • Adaptive Control Design and Analysis: A Tao Approach
    优质
    本书《自适应控制设计与分析：一种道的方法》融合了东方哲学思想和现代控制理论，探讨如何采用灵活、动态的方式进行控制系统的设计与优化。 Tao Adaptive Control Design and Analysis 自适应控制器设计与分析
     
  • Adaptive MPC Design Using Simulink and Model Predictive Control...
    优质
    本教程介绍如何使用Simulink和Model Predictive Control工具箱设计自适应MPC控制器，适用于工业过程控制应用。 汽车自动驾驶 MPC（模型预测控制）实例文件详细附说明
     
  • Robust Adaptive Control
    优质
    《鲁棒自适应控制》是一本专注于开发能够应对不确定性与变化环境的控制系统方法的著作，适用于工程和技术领域的研究人员和学生。 这是一本关于鲁棒自适应控制的英文书籍，共有800多页，欢迎下载学习。
     
  • Adaptive-Control-master_AdaptiveControl_
    优质
    Adaptive-Control-master_AdaptiveControl_ 项目专注于开发自适应控制算法，旨在优化系统性能和响应环境变化的能力，适用于机器人、自动化及工业控制系统。 在Scilab中实现自适应控制的仿真文件以及可以在Octave环境下运行并与MATLAB兼容的代码。
     
  • Backstepping Sliding Mode Adaptive Control (Adaptive).zip
    优质
    本资源为一个关于反推滑模自适应控制（自适应）的研究项目压缩包。内含相关理论文档、源代码及实验数据，适用于控制系统设计与研究。 本程序主要针对非线性系统开展反演滑模自适应控制算法的研究。
     
  • Adaptive Control (by Astrom)
    优质
    《自适应控制》是由Karl Johan Åström编著的一本经典教材，全面介绍了如何设计能够在未知或变化环境中自动调整参数的控制系统。 Adaptive control (Astrom)是一本经典之作，适合自适应控制的入门学习。由于其他资源评分较高，因此特意设置了一个较低的分数，希望大家都能注意到这本书。