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A Lyapunov approach to detectability of nonlinear systems.

机译:一种Lyapunov方法来检测非线性系统。

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摘要

Given a system with outputs, it is usually desirable to design an algorithm (called an observer), estimating the current state of the system based only on the past history of inputs and outputs. Detectability is the property making the design of an observer possible.;For linear systems detectability is dual to controllability and thus is easily reduced to a simple algebraic condition.;There are two natural ways of generalizing detectability to non-linear systems. One is based on a well-known notion of input-to-state stability (ISS), which can be dualized (for systems without controls) to output-to-state stability (OSS) by replacing inputs by outputs in the state estimate provided by ISS. Combining ISS and OSS results in the proposed notion of input- output-to-state stability (IOSS).;Another (Lyapunov-theoretic) approach, preferred in controller design, consists in finding a proper and positive definite function, decaying along trajectories of a system when the magnitudes of inputs and outputs are small in comparison with the magnitude of the state.;This presentation proves the equivalence of the two mentioned approaches. It is easy to establish an IOSS property for a system that admits an IOSS-Lyapunov function. The proof of the converse implication is far more complex. The most difficult step is finding a continuous Lyapunov function for a "stable modulo outputs" system without controls. No obvious guesses (such as integral along the trajectory or first hitting time) provide a continuous function. The goal is achieved by introducing artificial controls and changing the dynamics of the system near the part of the state space where output is sufficiently smaller than the state in magnitude. This results in an optimal control problem with a continuous value function.;As the IOSS property can be seen as a generalization of global asymptotic stability of ODEs, input to state stability of nonlinear control systems, and output to state stability of ODEs with outputs, the converse Lyapunov theorem presented here generalizes the Lyapunov characterizations for all these particular cases.;As a corollary to the presented results, construction of norm-estimators is provided, and integral characterizations of detectability (in terms of finite energy estimates) are obtained.
机译:给定一个具有输出的系统,通常需要设计一种算法(称为观察器),仅基于输入和输出的过去历史来估计系统的当前状态。可检测性是使观察者的设计成为可能的属性。对于线性系统,可检测性与可控制性是双重的,因此很容易将其简化为简单的代数条件。将非线性系统的可检测性归纳为两种自然方法。一种是基于众所周知的输入状态稳定性(ISS)概念,可以通过在提供的状态估计中将输出替换为输入,从而将其双重化(对于无控件的系统)到输出状态稳定性(OSS)。由国际空间站。结合ISS和OSS可以得出建议的输入-输出-状态稳定性(IOSS)的概念。在控制器设计中首选的另一种(Lyapunov-理论)方法是找到一个合适的正定函数,该函数沿轨迹轨迹衰减。与状态的大小相比,输入和输出的大小较小的系统。本演示证明了上述两种方法的等效性。为允许IOSS-Lyapunov功能的系统建立IOSS属性很容易。相反含义的证明要复杂得多。最困难的步骤是为没有控件的“稳定模输出”系统找到连续的Lyapunov函数。没有明显的猜测(例如沿轨迹的积分或第一次命中时间)不能提供连续的功能。通过引入人工控制并更改状态空间中输出足够小于状态幅度的部分附近的系统动力学来实现此目标。这就导致了具有连续值函数的最优控制问题。由于IOSS属性可以看作是ODE的全局渐近稳定性,非线性控制系统的输入到状态稳定性以及具有输出的ODE的输出到状态稳定性的概括,此处提出的逆Lyapunov定理概括了所有这些特殊情况的Lyapunov定理。作为所提出结果的推论,提供了范数估计量的构造,并获得了可检测性的整体特征(就有限能量估计而言)。

著录项

  • 作者

    Krichman, Mikhail.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Applied Mechanics.;Mathematics.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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