Architecture and System Design

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Chapter 15 - 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

Chapter contents PDF (24 Jul 2020) Introduction System and Control Design 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 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 Interaction The Relative Gain Array Parallel Systems Adaptation and Learning Adaptive Control Learning Neural Networks Deep Learning 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 Further Reading

Teaching Materials Additional Exercises Supplemental Information Frequently Asked Questions Errata Python Code Additional Information [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. First Edition Supplemental Information]