Abstract

A New Set of Stability Criteria Extending Lyapunov's Direct Method

Highlights

  • Consider a continuous time dynamical system x = f (x, t) (1)where x ∈ Rn is a point in an n-th dimensional space and t is a one dimensional variable representing time. x(t) is the state of the dynamical system at time t and represents the trajectory of the point Copyright © SIAMUnauthorized reproduction of this article is prohibited as time passes

  • Stability is an important topic in the studies of the dynamical system

  • Stability is an important topic in the studies of the dynamical systems

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Summary

Introduction

Where x ∈ Rn is a point in an n-th dimensional space and t is a one dimensional variable representing time. x(t) is the state of the dynamical system at time t and represents the trajectory of the point. X(t) is the state of the dynamical system at time t and represents the trajectory of the point. Rather than solving (1) analytically, the method employs a scalar positive definite function V (x, t) intuitively representing the energy of the state, where V (x∗, t) = 0 and V (x, t) > 0 for any x = x∗. If V (x, t) < 0 for any x except at x∗, the energy decreases monotonically over time and the trajectory converges to x∗.

Definitions of Stability and Lyapunov’s Direct Method
Main Results
An Example
Conclusion
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