Architecture and System Design

Prev: Fundamental Limits

Chapter 15 - Architecture and System Design

Next: Bibliography

[[Image:{{{Short name}}}-firstpage.png|right|thumb|link=https:www.cds.caltech.edu/~murray/books/AM08/pdf/fbs-{{{Short name}}}_24Jul2020.pdf]]

1. Introduction
2. System and Control Design
3. Top-Down Architectures
   • Layered Architectures for Control
   • Online Optimization
   • Discrete-decision making and supervisory control
   • Linking Continuous and Discrete Controllers
   • Model Checking and Program Synthesis
4. Bottom-Up Architectures
   • Cascade Control -- Several Sensors
   • Mid-Range Control -- Many Actuators
   • Selector Control -- Equipment Protection

\contentsline {subsection

1. • The Smith Predictor -- Phase Advance
   • Complementary Filtering -- Sensor Fusion
   • Extremum Seeking or Self-Optimization
2. Interaction
   • The Relative Gain Array
   • Parallel Systems
3. Adaptation and Learning
   • Adaptive Control
   • Learning
   • Neural Networks
   • Deep Learning
4. Control Design in Common Application Fields
   • Aerospace -- High Performance Systems and Highly Skilled Users
   • Automotive -- Complex Systems Used by Ordinary People
   • Process Industry -- Complex Systems with Many Different Users
   • Telecommunication -- Billions of Systems
5. Further Reading