Modeling with Liapunov function
Liapunov functions for finding lower order models of linear control systems
SEARCH · Engineering Papers
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Liapunov functions for finding lower order models of linear control systems
Liapunov functions generating methods applicable to nonlinear and linear autonomous systems
Liapunov functionals for time delay systems by path integrals in state space, using convolution equations involving distributions with compact support
Liapunov functions construction through conversion of differential equation with polynomial nonlinearities into auxiliary exact differential equation using algorithm
Stochastic Liapunov function existence demonstrated for continuous strong Markov process with certain stochastic stability properties
Liapunov functions for nonlinear systems of differential equations
Review of Liapunov stability theory as applied to stability analysis on nonlinear control systems - methods for generation of Liapunov functions
Liapunov functions synthesis for aperiodic linear systems by inspecting traces of state matrix and products
A technique is described which is utilized for modeling human operator dynamics. The technique is based upon a model-reference system configuration and a class of Liapunov functions formulated for this purpose which possess variable characteristics. It is shown how such a class of Liapunov functions and their time derivatives is formulated. The crux of the formulation lies in three variable positive definite matrices used for the construction of the class of Liapunov functions. The form and order of these matrices depend upon the form and order of the error differential equation of the human operator model-reference system. These matrices can be modified to include nonlinear functions of the human operator model.
Methods of generating Liapunov method for application to practical nonlinear dynamical systems
This paper considers the design of model-reference adaptive control systems using Liapunov functions. An adaption rule is developed analytically. This adaption rule results from the use of a Liapunov function which contains several positive semidefinite terms not included in previous references. The inclusion of these terms results in an adaption rule which is a function of the error, the plant states and the derivative and integral of these quantities. The adaption rule is applied to a simplified model of the Space Shuttle vehicle. Simulation results show that the maximum response error in the system is reduced by using this adaption rule.
Summary of stability theory relative to generation of Liapunov functions
Digital computer generation of system stability Liapunov functions for ninth order spacecraft attitude control
Liapunov functions generation for input-output stability of dynamical systems, using causal operator and state space realization
Control theory and matrix analysis for existence of Liapunov functions for problem of Lurie
Popov criteria for asymptotic stability of Lurie system of differential equations and Liapunov functions
Liapunov functions to determine the stability of non-linear autonomous difference equations can be developed through the use of auxiliary exact difference equations. For this purpose definitions are introduced for the gradient of an implicit function of a discrete variable, a principal sum, a definite sum and an exact difference equation, and a theorem for exactness of a difference form is proved. Examples illustrate the procedure.
Liapunov functions from auxiliary exact difference equations for nonlinear difference equation stability analysis