Research on new techniques for the analysis of manual control systems Progress report, 16 Jun. - 15 Dec. 1967

Adaptive behavior of human operators to failure transitions in controlled element dynamics, and identifying unknown sampling frequencies in dynamic system

Research on new techniques for the analysis of manual control systems Progress report, 15 Jun. 1969 - 15 Jun. 1970

Applying statistical decision theory to manual adaptive control system

Research on new techniques for the analysis of manual control systems Progress report, 16 Jun. - 15 Dec. 1968

Parameter estimation for continuous input-output systems with internal sampling in human controller model

Computers for real time flight simulation: A market survey

An extensive computer market survey was made to determine those available systems suitable for current and future flight simulation studies at Ames Research Center. The primary requirement is for the computation of relatively high frequency content (5 Hz) math models representing powered lift flight vehicles. The Rotor Systems Research Aircraft (RSRA) was used as a benchmark vehicle for computation comparison studies. The general nature of helicopter simulations and a description of the benchmark model are presented, and some of the sources of simulation difficulties are examined. A description of various applicable computer architectures is presented, along with detailed discussions of leading candidate systems and comparisons between them

Estimates of the Statistics of Randomly Varying Parameters of Linear Systems

Mathematical model used in estimating statistics of randomly varying parameters of linear system

The human operator in control systems

Human operator as control element in man machine system

New techniques for the analysis of manual control systems

Studies are summarized on the application of advanced analytical and computational methods to the development of mathematical models of human controllers in multiaxis manual control systems. Specific accomplishments include the following: (1) The development of analytical and computer methods for the measurement of random parameters in linear models of human operators. (2) Discrete models of human operator behavior in a multiple display situation were developed. (3) Sensitivity techniques were developed which make possible the identification of unknown sampling intervals in linear systems. (4) The adaptive behavior of human operators following particular classes of vehicle failures was studied and a model structure proposed

Computing methods in optimization problems - Gradient methods for the optimization of dynamic system parameters by hybrid computation

Gradient methods for optimization of dynamic system parameters by hybrid computatio

Research on New Techniques for the Analysis of Manual Control Systems Progress Report, 15 Dec. 1965 - 15 Jun. 1966

Manual control systems technology - human performance in tracking data acquisitio

The effect of a random sampling interval on a sampled-data model of the human operator

Effect of random sampling interval on sampled data model of human operator in compensatory trackin