Abstract
- In this paper the aspect of 'Stability Robustness' of Linear Quadratic Gaussian (LQG) regulators is analyzed in the time domain. The perturbations which cause instability in the system are viewed as consisting of two types of modeling errors: namely parameter variations and truncated models. Conditions are derived for 'Stability Robustness' for various combinations of these two types of modeling errors. A simple 'measure' of stability robustness is derived and based on this measure a control design algorithm is presented to maximize this measure for given perturbations. Applications in the field of Large Space Structures (LSS) control are discussed and simple examples are presented to illustrate the proposed concepts.
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