The concept is widely utilized in SISO mechanical systems, whereby applying a few
heuristic approaches, zeros can be identified for various linear systems. Zero dynamics adds an essential feature to the overall system’s analysis and the design of the controllers. Mainly its behavior plays a significant role in measuring the performance limitations of specific feedback systems. In a
Single Input Single Output system, the zero dynamics can be identified by using junction structure patterns. In other words, using concepts like
bond graph models can help to point out the potential direction of the SISO systems. Apart from its application in nonlinear standardized systems, similar controlled results can be obtained by using zero dynamics on nonlinear discrete-time systems. In this scenario, the application of zero dynamics can be an interesting tool to measure the performance of nonlinear digital design systems (nonlinear discrete-time systems). Before the advent of zero dynamics, the problem of acquiring non-interacting control systems by using internal stability was not specifically discussed. However, with the
asymptotic stability present within the zero dynamics of a system, static feedback can be ensured. Such results make zero dynamics an interesting tool to guarantee the internal stability of non-interacting control systems. == References ==