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A Variational Inequality Theory Chapter | 4 117


                           4.13 A GENERAL FRAMEWORK IN ELECTRONICS

                           The practice (see [6] and [20]) shows that a large class of circuits can be studied
                           via the following general mathematical formalism.
                                         m
                              Let   ∈  (R ;R ∪{+∞}),let A ∈ R n×n , B ∈ R n×m , C ∈ R m×n , and D ∈
                                           p
                           R n×p , and let u ∈ R . We consider the following problem:
                                                                  m
                                                             n
                           NRM(A,B,C,D,u, ):Find (x,y L ) ∈ R × R such that
                                                  Ax − By L + Du = 0,                 (4.87)
                                                        y = Cx,                       (4.88)

                           and
                                                      y L ∈ ∂ (y).                    (4.89)

                              The matrices A, B,C, and D in (4.87) are structural matrices used to state
                           the Kirchhoff voltage and current laws in matrix form. The matrix A depends
                           on electrical parameters like resistances, capacitances, and inductances. Usually,
                           u is a control vector that drives the system, x denotes a current vector, and y L is
                           a voltage vector corresponding to electrical devices like diodes whose (possibly
                           set-valued) ampere–volt characteristics can be described as in (4.89).
                              It is worth noting that (4.87)–(4.89) may represent the equations of a static
                           circuit but also the generalized equation that is to be satisfied by the equilib-
                           rium points of a dynamical circuit, or more generally of a class of differential
                           inclusions (see [20] for applications concerning the absolute stability problem).
                              Let us now make the following two assumptions.

                                                           n
                           Assumption (H1): There exists ¯x 0 ∈ R such that   is finite and continuous at
                            ¯ y 0 = C ¯x 0 .
                           Assumption (H2): There exists an invertible matrix P ∈ R n×n  such that
                                  T
                           PB = C .
                              We set
                                                      n
                                                (∀x ∈ R ) :  (x) =  (Cx).             (4.90)
                           Then
                                                           n
                                              D( ) ={x ∈ R : Cx ∈ D( )}.              (4.91)
                                                                                   n
                           Assumption (H1) entails that D( ) 
= ∅, and it is clear that   : R → R ∪
                           {+∞} is a proper convex lower semicontinuous function. The following result
                           shows that our general framework can be reduced to a variational inequality of
                           the second kind.
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