Architecture and System Design

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In this chapter we place the relatively simple feedback loops that have been the focus of the previous chapters in the context of overall system design. We outline a typical design process and discuss the role of architecture and how it can be approached from top-down and bottom-up perspectives. Interaction and adaptation are then reviewed and the chapter ends with a brief overview of control design in some major industrial fields.

Contents

  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
    • Internal Model Control -- Disturbance Observer
    • The Smith Predictor -- Phase Advance
    • Complementary Filtering -- Sensor Fusion
    • Extremum Seeking or Self-Optimization
  5. Interaction
    • The Relative Gain Array
    • Parallel Systems
  6. Adaptation and Learning
    • Adaptive Control
    • Learning
    • Neural Networks
    • Deep Learning
  7. 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
  8. Further Reading