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Knowledge-based control
(IEEE, 1992-03-17)
Knowledge-based control is defined here as the management of dynamic systems whose states admit qualitative modeling. Contributions from several disparate disciplines, such as artificial intelligence, the decision sciences, ...
Fuzzy decision and control, the Bayes context
(IEEE, 1993-12-15)
This paper shows how it is that fuzzy control may be viewed as a particular kind of stochastic (Bayesian) control. With the Bayes approach, fuzzy control may be viewed as an ensembled-average control, where the average is ...
Decision support for the general aviation pilot
(IEEE, 1997-10-12)
Increasing air traffic control (ATC) requirements raises the workload of pilots. Required tasks dictate more “head-in-the-cockpit” computation, which can easily distract a pilot from safe airplane operation. Following eight ...
Hypertrapezoidal fuzzy membership functions
(IEEE, 1996-09-08)
The authors present a method for representing N-dimensional fuzzy membership functions. The proposed method is a generalization of the one-dimensional trapezoidal membership function commonly used in fuzzy systems. The ...
A fuzzy-tuned adaptive Kalman filter
(IEEE, 1993-12-01)
In this paper, fuzzy processing is applied to the adaptive Kalman filter. The filter gain coefficients are adapted over a 50 dB range of unknown signal/noise dynamics, using fuzzy membership functions. Specific simulation ...
Reconciling steady-state Kalman and alpha-beta filter design
(IEEE, 1990-11)
The deterministic design of the alpha-beta filter and the stochastic design of its Kalman counterpart are placed on a common basis. The first step is to find the continuous-time filter architecture which transforms into ...