scholarly journals An ‘Ethical Black Box’, Learning From Disagreement in Shared Control Systems

Author(s):  
Henry Eberle ◽  
Bingqing Zhang ◽  
Catalin Stefan Teodorescu ◽  
George Walker ◽  
Tom Carlson
2018 ◽  
Vol 48 (5) ◽  
pp. 509-525 ◽  
Author(s):  
David A. Abbink ◽  
Tom Carlson ◽  
Mark Mulder ◽  
Joost C. F. de Winter ◽  
Farzad Aminravan ◽  
...  

2015 ◽  
Vol 22 (4) ◽  
pp. 137-146 ◽  
Author(s):  
Martin F. Stoelen ◽  
Virginia Fernandez de Tejada ◽  
Alberto Jardon Huete ◽  
Carlos Balaguer ◽  
Fabio Paolo Bonsignorio

Author(s):  
Hamid Asgari ◽  
XiaoQi Chen ◽  
Raazesh Sainudiin

This chapter deals with research activities that have been carried out so far in the field of modelling and simulation of gas turbines for system optimization purposes. It covers major white-box and black-box gas turbine models and their applications to control systems.


1967 ◽  
Vol 4 (1) ◽  
pp. 113-122
Author(s):  
R. G. Keats

It is well known (Lee 1960), especially to communications and control systems engineers, that the weighting function (unit impulse function) of a linear causal system may be obtained by cross correlating its output with its input. In general a Wiener-Hopf integral equation must be solved for the weighting function; but if the input were “white noise” of unit spectral density then, as shown by Lee (1950), the weighting function would be equal to this cross correlation function for positive values of its argument. Although a perfectly “white” input cannot be obtained in practice, a number of modifications of this technique have been used; Anderson, Buland and Cooper (1959), for example, describe the use of specially selected samples of “discrete-interval binary noise” in a problem in adaptive control.


1967 ◽  
Vol 4 (01) ◽  
pp. 113-122
Author(s):  
R. G. Keats

It is well known (Lee 1960), especially to communications and control systems engineers, that the weighting function (unit impulse function) of a linear causal system may be obtained by cross correlating its output with its input. In general a Wiener-Hopf integral equation must be solved for the weighting function; but if the input were “white noise” of unit spectral density then, as shown by Lee (1950), the weighting function would be equal to this cross correlation function for positive values of its argument. Although a perfectly “white” input cannot be obtained in practice, a number of modifications of this technique have been used; Anderson, Buland and Cooper (1959), for example, describe the use of specially selected samples of “discrete-interval binary noise” in a problem in adaptive control.


Sign in / Sign up

Export Citation Format

Share Document