Mathematical models of human operators in simple two-axis manual control systems.
Continuous parameter optimization techniques applied to synthesis of model of human operators in simple two-axis manual control system
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Continuous parameter optimization techniques applied to synthesis of model of human operators in simple two-axis manual control system
Nonlinear and time-varying dynamical models of human operators in manual control systems
A brief description of the history of the development of the human operator simulator (HOS) model is presented. Features of the HOS micromodels that impact on the obtainment of visual performance data are discussed along with preliminary details on a HOS pilot model designed to predict the results of visual performance workload data obtained through oculometer studies on pilots in real and simulated approaches and landings.
Survey of human operator response mechanisms, and development of visual-auditory display device to increase operator response speed, frequency, and flexibility
Adaptive model of human operator control strategy in response to sudden changes in plant dynamics and transient disturbances
Modified fast Fourier transform for hybrid computer program data processing of human operator describing functions
Application of control theory to development of dynamic system models for human operators in control loop
Analog computer simulation to assess random sampling interval effects on sampled data model of human operator
The effects of a multiplicative motor noise model on the optimal-control human operator model were analyzed. A study of the interaction between multiplicative motor noise variance, plant dynamics, and predicted operator response behavior shows that, in general, an increase in motor noise variance produces a decrease in operator gain and a decrease in high-frequency remnant. An increase in multiplicative motor noise variance is also reflected by an increase in the effective motor time constant; in the absence of a cost penalty on commanded control, the motor time constant equals the motor noise variance.
Performance of human operators in three-state relay control system with velocity augmented displays
Descriptive overviews of some existing models and techniques of modelling the human operator are presented.
The objective of our research is to decompose the performance of the human operator in terms of the subsystems that determine the operator's responses in order to establish how the dynamics of these component subsystems influence the operator's performance. In the present experiment, the dynamic stiffness of the human elbow joint was measured at rest and under different levels of biceps muscle activation; this work forms part of the analysis of the limb mechanics subsystem.
Finite-state machines and evolutionary programming for representing and analyzing performance of human operator in control of dynamic systems
Programmed search and gradient search methods for determination of sampling intervals in synthesis of sampled data models of human operators
Some of the issues and equations involved in predicting closed-loop man machine performance for situations in which the human operators' knowledge of the system and/or environment are imperfect are presented and discussed. Several examples to demonstrate some of the effects to be expected when such is the case are then given.
A historical perspective is presented in terms of the major features and status of two families of computer simulation models in which the human operator plays the primary role. Both task oriented and message oriented models are included. Two other recent efforts are summarized which deal with visual information processing. They involve not whole model development but a family of subroutines customized to add the human aspects to existing models. A global diagram of the generalized model development/validation process is presented and related to 15 criteria for model evaluation.
The combination of human and machine capabilities into an integrated engineering system which is complex and interactive interdisciplinary undertaking is discussed. Human controlled remote systems referred to as teleoperators, are reviewed. The human factors requirements for remotely manned systems are identified. The data were developed in three principal teleoperator laboratories and the visual, manipulator and mobility laboratories are described. Three major sections are identified: (1) remote system components, (2) human operator considerations; and (3) teleoperator system simulation and concept verification.
Parameter identification algorithm identifying linear dynamic systems by digital computer used to identify human operator characteristics in closed loop control situation