General Dynamics

About: General Dynamics is a company organization based out in Fairfax, Virginia, United States. It is known for research contribution in the topics: Signal & Propellant. The organization has 5722 authors who have published 5819 publications receiving 85768 citations. The organization is also known as: GD & General Dynamics Corporation.

Input-output stability of interconnected systems

Abstract: New results for input-output stability of multiple input-multiple output systems, viewed as interconnected systems, are established In the present approach, which can also be utilized in stabilization and compensation procedures, large-scale systems are analyzed in terms of their subsystems and interconnecting structure The method advanced is applied to a specific example The present results differ appreciably from earlier ones by Porter and Michel because they are applicable to a larger class of problems, they are simpler to apply when conicity conditions are used, and in addition to circle criteria, they also utilize Popov-type conditions The present procedure differs significantly from existing methods concerned with the analysis of systems having several nonlinearities Many of these earlier results (multidimensional Popov criteria) usually involve frequency dependent test matrices and graphical frequency domain interpretations are generally not possible The present results require frequency independent test matrices and yield graphical frequency domain interpretations

The Dynamics of Military Combat

Abstract: In this paper the essentials of warfare are given theoretical treatment in a particularly simple way. A theory of warfare, i.e., a combat dynamics, is derived that is in close agreement with what man has learned about war through his use of it. To the theoretical work of earlier investigators the present study adds a reconnaissance concept and a weapons concept both being stated in explicit mathematical form. The theoretical dynamics appears to be applicable to warfare in the nuclear age.

Reconciling steady-state Kalman and alpha-beta filter design

Abstract: The deterministic design of the alpha-beta filter and the stochastic design of its Kalman counterpart are placed on a common basis. The first step is to find the continuous-time filter architecture which transforms into the alpha-beta discrete filter via the method of impulse invariance. This yields relations between filter bandwidth and damping ratio and the coefficients, alpha and beta . In the Kalman case, these same coefficients are related to a defined stochastic signal-to-noise ratio and to a defined normalized tracking error variance. These latter relations are obtained from a closed-form, unique, positive-definite solution to the matrix Riccati equation for the tracking error covariance. A nomograph is given that relates the stochastic and deterministic designs. >