Béla Lipták, PE, CONTROL Contributor
intelligence? It is the totality of man’s mental processes. Intelligence makes us capable
of adapting to our environment. It is what a child uses to process the information received from the
sensors of hearing, vision, touch and the observation of the relationships between the causes and
consequences of outside events.
below illustrates a neuron of the human brain, which allows us to
relate a number of inputs (x) to an output (y). Human intelligence includes the capability of perceiving
relationships and analogies, reasoning, storing and retrieving information, classifying, generalizing, predicting
on the basis of the past and adjusting to new conditions.
FIGURE 1: BIOLOGICAL NEURON MODEL
A biological neuron model, which processes N inputs (xN) to arrive at the output (y). (McCulloch-Pitts neuron).
Over the years, through the efforts of control professionals, our process controllers have gradually become
more and more intelligent. First we improved PID control by adding external reset, decoupling, dead time and
dynamic compensation, gain scheduling, feed forward and auto-tuning. Than came the linear quadratic
Gaussian (LPG) regulator, Kalman filter, model predictive control (MPC), adaptive control, repetitive control
In the vocabulary of control engineers, artificial intelligence is a relatively new term. It was coined during a
technical conference at Dartmouth University in 1956. This article will concentrate on the latest stage, the
family of algorithms consisting of fuzzy logic, rule-based artificial intelligence and neural networks.
Just how smart will controller intelligence get? CONTROL’s Béla Lipták reports
on changes, new concepts, and innovative methods in the use of artificial
intelligence in controlling automated processes.