1. i s f a i r l y replete with the description of techniques for the successful measurement of human operator or pilot dynamics i n well-defined tracking tasks, e.g. [5-131. Some of these even involve the use of f l i g h t data. Thus, the research t o be described herein w i l l not be an attempt to break new theoretical ground. Rather it i s to shed light on the ability of a particular least squares identification technique t o serve as a practical tool which can aid engineers involved i n flight simulator validation and handling qualities research. To be useful, the results of any such identification work must be interpreted i n the framework of existing, well-accepted and tractable analytical models. Copyright OAmericanInstituteof Aeronautics and
2. Astronautics, Inc., 1985.All rightsresewed. Thus, the results the identification study to be described herein w i l l be interpreted i n the light of the model given by Eq. (1).
3. Entries 5 and 8 of Table 1 were selected as prospective structures for YpYc. Note that Entry 8 actually subsumes a l l lower entries i n tne table, i.e., by setting appropriate ai and b i equal t o zero i n the second column of entry 8, any of entries 1-7 can be obtained. Uf course, i n analyses such as this there i s the possibility of allowing too many degrees of freedom i n the model. Such problems can be quickly identified by giving close attention t o the numerical properties of the observation matrix used i n the least squares minimization procedure [15].