Page 23 - Handbook of Biomechatronics
P. 23

16                                                     Ahmed R. Arshi


             (e.g., the cause for element A to behave in a particular manner, is the
             effect of element B whose cause may be the algebraic summation of
             the effects of a number of elements). The intradisciplinary subjectivity
             in the causal selection process may thus be eliminated. The system ele-
             ments defined and described by logico-mathematical causal relations
             may also be adopted in the synthesis of new systems, as well as in the
             analysis of already existing ones. This approach to synthesis may embrace
             a number of characteristics such as the following:
              a. Introduction (existence) of an element independent of the observer
                 (discipline) would indicate a predictable effect (consequence).
                 Therefore, the causal relationships presented in the synthesis of a
                 conceptual design would represent a structure which may not
                 change when the observer is altered. This remains true unless the
                 nature of functional connectedness is altered.
             b. Contribution of individual elements to the system output can be
                 established and critically analyzed, independent or within the struc-
                 ture of a discipline.
              c. Existence of causal conflicts is an indication of missing or unac-
                 counted relations, and leads to model expansion or reconfiguration.
          Combination of the two concepts of causality and systems isomorphism
          would qualify an alternative approach to bond graph description techniques
          with emphasis on synthesis as opposed to analysis.




               10 COHESION IN DESCRIPTIONS

               A purely mathematical approach to systems analysis is all too often an
          inadequate means of providing full appreciation of interactions present in a
          system. In engineering, however, a view that a picture is worth a thousand
          words has generally prevailed and the starting point of analysis of any
          dynamic system is commonly a systematic diagram or other graphical or pic-
          torial representations. Excellent graphical representations and corresponding
          analytical techniques already exist in different domains. When multi-
          disciplinary systems are under investigations and biophysical domains are
          coupled, the coherency of graphical representation techniques evaporates
          and the situation is no longer routine.
             The graphical or pictorial descriptions of such complex systems are
          commonly extremely generalized mixture of disciplinary notations. Here
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