Abstract
Assuming linear combination among parameter deviations involved in system models, this paper is concerned with analysis and design methods for flexible linear systems. We focussed our special interest on the system having equality constraints explicitly, and discovered a few properties to be taken into account in applications.
In these developments, we recommended that soft variables must be distinguished from decision variables according to whether they are alterable around their standard variables or not. On the condition of this distinction, it was shown that we can obtain rational results for actual utilization.
Combining the present results with the previous ones, which assumed independent parameter deviation, we can formulate the problem simply in a similar framework regardless of difference of imposed deviations and models. Relying on the special structure of the problem, we also examined approaches which enable us to deal with problems having many uncertain parameters and/or large scale systems.
