Some experimental observations on the stored energy function for small values of strain invariants.
Evaluation of stored-energy function for elastomeric materials based on biaxial experiments
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Results for “invariant”
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.
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Rotation invariant probability distributions on the surface of a sphere, with applications to geodesy
Gravity anomalies and linear transforms over rotating spheres treated as random process with spectrum analysis and applications for geodesy
Frey, E. J.↗
Charged particle diffusion by violation of the third adiabatic invariant.
Equation describing statistically trapped particle motion under influence of fields varying in time and space
Birmingham, T. J.↗
An invariance principle in the theory of stability.
Liapunov theory of stability applied to dynamical systems defined by differential equations
La Salle, J. P.↗
Energy invariant for geometric acoustics in a moving medium.
Conservation of volume integrals of ratio of Rayleigh acoustic energy density to frequency variable in geometric acoustics in moving medium
Hayes, W. D.↗
Charged particle diffusion by violation of the third adiabatic invariant.
Equation describing statistically trapped particle motion under influence of fields varying in time and space
Birmingham, T. J.↗
An invariant imbedding approach to spectral- line formation by noncoherent scattering
Spectral line formation, assuming frequency redistribution for plane parallel stellar atmosphere containing nonuniform distribution of internal emission sources
Fuller, F. B.↗
A test of Lorentz invariance using a torsion pendulum
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Phillips, P. R.↗
New extension of the range of validity of Lorentz invariance
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Phillips, P. R.↗
A study of compressible turbulent boundary layers using the method of invariant modeling
Model equations for studying compressible turbulen boundary layers
Donaldson, C. D.↗
Compensator design for low-sensitivity linear time-invariant systems (COMPDES)
Digital computer program written in FORTRAN 4 has capability of synthesizing low order compensators to stabilize dynamical system in presence of parameter variations. Design scheme is accomplished by means of sensitivity function which is minimized with respect to eigenvalues.
Willner, L.↗
Generation of the invariant coefficients of the characteristic polynomial for an nxn matrix
In theories of numerical stability, roots to a characteristic polynomial are sought, which, in the case of the predictor with iterative correction method of numerical integration, are eigenvalues of a matrix whose elements depend on the coefficients used in the integration process. The characteristic polynomial is displayed explicitly in terms of the elements of the characteristic matrix.
Beaudet, P. R.↗
Invariant imbedding and a matrix integral equation of neuronal networks.
A matrix Fredholm integral equation of neuronal networks is transformed into a Cauchy system suited for numerical and analytical studies. A special case is discussed, and a connection with the classical renewal integral equation of stochastic point processes is presented.
Kalaba, R.↗
Recent results concerning a graphical test for checking the stability of a linear time-invariant system.
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Callier, F. M.↗
Multifrequency excitation of a wire antenna for an invariant radiation pattern.
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Shen, L. C.↗
Necessary and sufficient conditions of pointwise completeness of linear time-invariant delay-differential systems.
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Choudhury, A. K.↗
L2-stability and L2-instability of linear time-invariant distributed feedback systems perturbed by a small delay in the loop.
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Barman, J. F.↗
An iterative technique to stabilize a linear time invariant multivariable system with output feedback
An iterative procedure for determining the constant gain matrix that will stabilize a linear constant multivariable system using output feedback is described. The use of this procedure avoids the transformation of variables which is required in other procedures. For the case in which the product of the output and input vector dimensions is greater than the number of states of the plant, general solution is given. In the case in which the states exceed the product of input and output vector dimensions, a least square solution which may not be stable in all cases is presented. The results are illustrated with examples.
Sankaran, V.↗