Abstract
Systems can be classified as dynamic or static depending on the nature of the performance. A static system has a fixed target value for the performance characteristic while a dynamic system has a variable performance characteristic. This variable characteristic can be adjusted by a signal factor based on the requirement of the user. Due to this nature, modeling and optimization methods of dynamic systems may be different from those for static systems. This paper presents a two-step approach to the optimization modeling and design of linear dynamic systems. The approach is based on the concepts of quality engineering, experimental design, loss function, signal-to-noise (SN) ratio and optimization methodology. The motivation, justification and computation of SN ratios for linear dynamic systems will be discussed. As an illustrative example, a circuit design problem is given to demonstrate the method.
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