Results 301 to 310 of about 2,970,912 (342)

A rule-based adaptive PID controller

Proceedings of the 27th IEEE Conference on Decision and Control, 2003
The authors describe a functioning expert controller implemented with industrial programmable logic controller technology. In its present state the controller implements an adaptive PID (proportional, integral, and derivative) algorithm based on rule-based logical modules. The controller does not presume a model for the system.
K.L. Anderson, G.L. Blankenship, L.G. Lebow   +2 more
openaire   +1 more source

Practical Ruled-Based Vehicle Traction Control

SAE Technical Paper Series, 1994
<div class="htmlview paragraph">This paper introduces a new traction control method that assures vehicle operational stability on a low friction road. On a low friction road, the vehicle becomes unstable as the drive wheels spin under excess engine torque. Instead of using friction coefficient versus slip-ratio curve and exact vehicle speed, this
Zhejun Fan, Yoram Koren, David Wehe
openaire   +1 more source

Fuzzy logic control synthesis without any rule base

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
A new analytic fuzzy logic control (FLC) system synthesis without any rule base is proposed. For this purpose the following objectives are preferred and reached: 1) an introduction of a new adaptive shape of fuzzy sets and a new adaptive distribution of input fuzzy sets, 2) a determination of an analytic activation function for activation of output ...
openaire   +3 more sources

Experiments in adaptive rule-based control

Proceedings of the third international conference on Industrial and engineering applications of artificial intelligence and expert systems - IEA/AIE '90, 1990
In this paper, it will be shown how artificial intelligence techniques can be applied in control engineering. Our initial interest was the development of an adaptive rule-based controller, where the control rules are derived through observing human skills on a simulator then applied to automatically control a physical system.
Bing Zhang, Edward Grant
openaire   +1 more source

Evolving A Rule-Based Fuzzy Controller

SIMULATION, 1995
In this article we demonstrate the application of genetic algorithms (GAs) to the automatic generation of fuzzy process controllers. Since each controller is represented as an unordered list of an arbitrary number of rules, the algorithm evolves both the composition and size of the rule base from initial randomness. Evolving controllers in the form of
openaire   +1 more source

Rule-Based Hybrid Building Control System

2018 International Russian Automation Conference (RusAutoCon), 2018
The article deals with the field of building automation system. It covers both continuous (heat exchangers, radiators, convectors) and discrete (thermostats, fans, pumps) elements operating on the on/off principle. Such systems are described through mixed logical-dynamical models.
Oleg Yu. Maryasin, Andrey A. Ogarkhov, Anna S. Kolodkina   +2 more
openaire   +1 more source

Two-rule-based linguistic fuzzy controllers

IEEE Transactions on Fuzzy Systems, 2003
This paper presents a new methodology to design two- or three-input-single-output fuzzy logic controllers (FLCs). The main features of the proposed methodology are: 1) the rule-bases are not complete and consist of only two rules relating fuzzy descriptions of not-self correcting errors to the sign of control actions, and 2) appropriate choices of ...
C. Melin, B. Vidolov
openaire   +1 more source

Machine-learned rule-based control

1990
Machine-learned rule-based control differs from more typical approaches to the engineering of controllers for physical systems in the following respect. In traditional control theory, a mathematical model of the system is constructed and then analysed in order to synthesise a control method. This approach is clearly deductive.
openaire   +1 more source

A rule-based postoperative pain controller: Simulation results

International Journal of Bio-Medical Computing, 1993
We describe a system for controlling postoperative pain, a phenomenon that is difficult to treat by conventional control methods due to interpatient variability, interferences, non-linearity and the lack of a plausible, well-defined mathematical model. The system consists of two phases.
A, Carollo, A, Tobar, C, Hernandez
openaire   +2 more sources

The rule-based distillation decision and control system

Annual Review in Automatic Programming, 1989
Abstract After analyzing the basic control system of large-scale crude oil distillation process of a refinery, an intelligente control system RBDDCS (Rule-based Distillation Decision and Control System) is developed for optimization and control of the process. For speeding up the search procedure, an idea of combining the knowledge-based modulization
Z. Song, J.C. Gao, C.H. Zhou
openaire   +1 more source