Edit Chapter: Architecture and System Design

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Chapter summary:	In this chapter we place the relatively simple feedback loops that have been the focus of the previous
Chapter contents:	# 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

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