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Nash equilibrium in such games is guaran- ˙x = Ax + B 1 u 1 + B 2 u 2 and the quadratic cost functional J = 1 2 Z T 0 (x 0 Qx + u 0 1 u 1 + u 0 2 u 2 )dt the saddle point strategies are given by u i = (−1) i B 0 i K(t)x; i = 1, 2 where K(t) is a unique symmetric bounded solution to the matrix differential Riccati ˙ K +A 0 K +KA+Q−K(B 1 B 0 1 −B 2 B 0 2 ) = 0 with K(T ) = 0. linearity a property of a system if that system obeys the principle of superposition. y(t) is a function of the input x(t), i.e., y(t) = f (x(t)), and if x(t) = αx 1 (t) + βx 2 (t), then for a linear system, y(t) will be = αy 1 (t)+βy 2 (t) where y 1 (t) = f (x 1 (t)) and y 2 (t) = f (x 2 (t)). linearization approximation of a nonlin- ear evolution equation in a small neighbor- hood of a point by a linear equation. This is linearized machine equations state equa- tions obtained by linearizing the nonlinear g(f ) = g(f 0 ) + g 0 (f 0 )1f + higher order terms where f = f 0 + 1f (and f 0 is the value of f at a given operating point). The small displacement characteristics are then approximated as g(f ) − g(f 0 ) = 1g = g 0 (f 0 )1f The linearized equations are typically ma- nipulated into a standard state model form dx dt = Ax + Bu y = Cx + Du and are used for Eigensystem, stability, and linearizer an equipment or circuit that is used to reduce distorted components gener- lineman utility employee working on pri- mary facilities, distribution class equipment, linguistic hedge See linguistic variable variable for which val- ues are not numbers, but words or sentences c 2000 by CRC Press LLC |