Difference between revisions of "Architecture and System Design"
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(Created page with "{{Chapter |Chapter number=15 |Previous chapter=Fundamental Limits |Next chapter=Bibliography }}") |
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|Previous chapter=Fundamental Limits | |Previous chapter=Fundamental Limits | ||
|Next chapter=Bibliography | |Next chapter=Bibliography | ||
+ | |Chapter summary=# 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 | ||
+ | \contentsline {subsection | ||
+ | #* 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 | ||
}} | }} |
Revision as of 00:44, 28 December 2020
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]]
- 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
\contentsline {subsection
- 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