Abstract

We present in this chapter one of the major applications of the structural decomposition techniques of linear systems in modern control system design, namely, the asymptotic time-scale and eigenstructure assignment (ATEA) design method using state feedback. The concept was originally proposed in Saberi and Sannuti [117,118] and developed fully in Chen [18] and Chen et al. [27]. It is decentralized in nature and is in fact rooted in the concept of singular perturbation methods of Kokotovic et al. [75]. It uses the structural decomposition of a given linear system characterized by a matrix quadruple (A, B, C, D) to design a state feedback gain F such that the resulting closed-loop system matrix A + BF possesses pre-specified time-scales and eigenstructures. The specified finite eigenstructure of A + BF is assigned appropriately by working with subsystems which represent the finite zero structure of the given system, whereas the specified asymptotically infinite eigenstructure of A + BF is assigned appropriately by working with the subsystems which represent the infinite zero structure of the given system. Such a design method has been utilized intensively to solve many control problems, such as H∞ control (see, e.g., Chen [22]), H2 optimal control (see, e.g., Saberi et al. [120]), loop transfer recovery (see, e.g., Chen [18], and Saberi et al. [116]), and the disturbance decoupling problem (see, e.g., Chen [22], Lin and Chen [86], and Ozcetin et al. [106,107]). It will be seen shortly that the ATEA design technique is a good way of capturing the core differences between H2 and H∞ control.

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