CONEXIÓN
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Created on September 14, 2024
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Transcript
TIMELINE
1800
1930
1970
2000
2020
EARLY CONCEPTS
CONTROL THEORY FOUNDATION
Automatic Control
DIGITAL CONTROL
ADVANCE CONTROL
Model Predictive Control (MPC) and autonomous systems became widely used in industries like aerospace, automotive, and robotics.
AI and Control Systems Integration
These technologies allow control systems to learn and adapt to complex, unpredictable environments, significantly impacting fields like robotics, autonomous vehicles, and industrial automation.
published a paper on the governor, a feedback system used to regulate steam engines, laying the groundwork for control theory.
Harry Nyquist developed the Nyquist stability criterion, a graphical method for determining the stability of feedback systems.
The rise of digital computers enabled the implementation of digital control systems, replacing analog systems in many industries.
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