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Nonlinear Control of Delay and PDE Systems.

机译:延迟和PDE系统的非线性控制。

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摘要

In this dissertation we develop systematic procedures for the control and analysis of general nonlinear systems with delays and of nonlinear PDE systems.;We design predictor feedback laws (i.e., feedback laws that use the future, rather than the current state of the system) for the compensation of delays (i.e., after the control signal reaches the system for the first time, the system behaves as there were no delay at all) that can be time-varying or state-dependent, on the input and on the state of nonlinear systems. We also provide designs of predic- tor feedback laws for linear systems with constant distributed delays and known or unknown plant parameters, and for linear systems with simultaneous known or unknown constant delays on the input and the state. Moreover, we intro- duce infinite-dimensional backstepping transformations for each particular prob-lem, which enables us to construct Lyapunov-Krasovskii functionals. With the available Lyapunov-Krasovskii functionals we study stability, as well as, robust- ness of our control laws to plant uncertainties.;We deal with coupled PDE-ODE systems. We consider nonlinear systems with wave actuator dynamics, for which we design a predictor inspired feedback law. We study stability of the closed-loop system either by constructing Lyapunov functionals, or using arguments of explicit solutions. We also consider linear sys- tems with distributed actuator and sensor dynamics governed by diffusion or wave PDEs, for which we design stabilizing feedback laws. We study stability of the closed-loop systems using Lyapunov functionals that we construct with the intro- duction of infinite-dimensional transformations of forwarding type. Finally, we develop a control design methodology for coupled nonlinear first-order hyperbolic PDEs through an application to automotive catalysts.
机译:在本文中,我们开发了用于控制和分析具有时滞的一般非线性系统和非线性PDE系统的系统程序。我们设计了预测器反馈定律(即,使用未来而不是系统当前状态的反馈定律)用于延迟的补偿(即,在控制信号首次到达系统后,系统表现为完全没有延迟),该补偿可能随时间变化或取决于状态,取决于输入和非线性状态系统。我们还为具有恒定分布延迟和已知或未知工厂参数的线性系统,以及对于输入和状态具有已知或未知恒定延迟的线性系统提供预测器反馈定律的设计。此外,我们为每个特定问题引入了无穷大的反推变换,这使我们能够构造Lyapunov-Krasovskii函数。利用可用的Lyapunov-Krasovskii功能,我们研究稳定性以及控制律对植物不确定性的鲁棒性。我们处理耦合的PDE-ODE系统。我们考虑具有波动执行器动力学的非线性系统,为此我们设计了一个预测变量启发的反馈定律。我们通过构造Lyapunov函数或使用显式解的参数来研究闭环系统的稳定性。我们还考虑了由扩散或波动PDE控制的具有分布式执行器和传感器动态特性的线性系统,为此我们设计了稳定的反馈定律。我们使用Lyapunov函数研究闭环系统的稳定性,该函数是通过引入转发类型的无穷大转换而构造的。最后,我们通过将其应用于汽车催化剂,开发了耦合非线性一阶双曲PDE的控制设计方法。

著录项

  • 作者

    Bekiaris-Liberis, Nikolaos.;

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Mathematics.;Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 407 p.
  • 总页数 407
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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