- Krasovskii–LaSalle principle
The Krasovskii–LaSalle principle is a criterion for the
asymptotic stability of a (possibly nonlinear)dynamical system .The global Krasovskii–LaSalle principle
Given a representation of the system
: dot{mathbf{x = f left(mathbf x ight)
where mathbf x is the vector of variables, with
: f left( mathbf 0 ight) = mathbf 0
If a C^1 function V(mathbf x) can be found such that
: V( mathbf x) > 0 , for all mathbf x eq underline 0 (positive definite): dot{V}(mathbf x) le 0 for all mathbf x (negative semidefinite)
and
: V( mathbf 0) = dot{V} (mathbf 0) = 0
and if the set dot{V}( mathbf x) = 0 } contains no trajectory of the system except the trivial trajectory x(t) = 0 for t geq 0, then the origin is globally asymptotically stable.
Local version of the Krasovskii–LaSalle principle
If : V( mathbf x) > 0 , when mathbf x eq underline 0: dot{V}(mathbf x) le 0
hold only for mathbf x in some neighborhood D of the origin, and the set
: dot{V}( mathbf x) = 0 } igcap D
does not contain any trajectories of the system besides the trajectory x(t)=0, t geq 0, then the local version of the Krasovskii–LaSalle principle states that the origin is locally asymptotically stable.
Relation to Lyapunov theory
If dot{V} ( mathbf x) is
negative definite , the global asymptotic stability of the origin is a consequence of Lyapunov's second theorem. The "Krasovskii–Lasalle principle" gives a criterion for asymptotic stability in the case when dot{V} ( mathbf x) is onlynegative semidefinite .Example: the pendulum with friction
This section will apply the Krasovskii–LaSalle principle to establish the local
asymptotic stability of a simple system, the pendulum with friction. This system can be modeled with the differential equation ref|nd1:m l ddot{ heta} = - m g sin heta - k l dot{ heta}
where heta is the angle the pendulum makes with the vertical normal, m is the mass of the pendulum, l is the length of the pendulum, k is the
friction coefficient , and "g" is acceleration due to gravity.This, in turn, can be written as the system of equations
:dot{x_1} = x_2
:dot{x_2} = -frac{g}{l} sin x_1 - frac{k}{m} x_2
Using the Krasovskii–LaSalle principle, it can be shown that all trajectories which begin in a ball of certain size around the origin x_1 = x_2 = 0 asymptotically converge to the origin. We define V(x_1,x_2) as
:V(x_1,x_2) = frac{g}{l} (1 - cos x_1) + frac{1}{2} x_2^2
This V(x_1,x_2) is simply the scaled energy of the system ref|nd2 Clearly, V(x_1,x_2) is
positive definite in an open ball of radius pi around the origin. Computing the derivative,:dot{V}(x_1,x_2) = frac{g}{l} sin x_1 dot{x_1} + x_2 dot{x_2} = - frac{k}{m} x_2^2
Observe that V(0) = dot{V} = 0. If it were true that dot{V} < 0 , we could conclude that every trajectory approaches the origin by Lyapunov's second theorem. Unfortunately, dot{V} leq 0 and dot{V} is only
negative semidefinite . However, the set:S = { (x_1,x_2) | dot{V}(x_1,x_2) = 0 }
which is simply the set
:S = { (x_1,x_2) | x_2 = 0 }
does not contain any trajectory of the system, except the trivial trajectory x = 0. Indeed, if at some time t, x_2(t)=0, then because x_1 must be less pi away from the origin, sin x_1 eq 0 and dot{x_2}(t) eq 0 . As a result, the trajectory will not stay in the set S.
All the conditions of the local Krasovskii–LaSalle principle are satisfied, and we can conclude that every trajectory that begins in some neighborhood of the origin will converge to the origin as t ightarrow infty ref|tw1.
History
While LaSalle was the first author in the West to publish this theorem in 1960, its first publication was in 1952 by Barbashin and Krasovskii in a special case, and in 1959 by Krasovskii in the general case ref|vid.
See also
*
Lyapunov stability Original papers
* Barbashin, E.A, Krasovskii, N. N. , "On the stability of motion as a whole," (Russian), Dokl. Akad. Nauk, 86, pp.453–456, 1952.
* Krasovskii, N. N. "Problems of the Theory of Stability of Motion," (Russian), 1959. English translation: Stanford University Press, Stanford, CA, 1963.
* LaSalle, J.P. "Some extensions of Liapunov's second method," IRE Transactions on Circuit Theory, CT-7, pp. 520–527, 1960.References
# [http://www.nd.edu/~lemmon/courses/ee580/ Lecture notes on nonlinear control] , University of Notre Dame, Instructor: Michael Lemmon, lecture 4.
# ibid.
# [http://cc.ee.ntu.edu.tw/~fengli/Teaching/NonlinearSystems/ Lecture notes on nonlinear analysis] , National Taiwan University, Instructor: Feng-Li Lian, lecture 4-2.
# Vidyasagar, M. "Nonlinear Systems Analysis," SIAM Classics in Applied Mathematics, SIAM Press, 2002.
Wikimedia Foundation. 2010.