Robust control theory allows for changes in a system whilst maintaining stability and performance. Applications of this technique are very important for dependable embedded systems, making technologies such as drones and other autonomous systems with sophisticated embedded controllers and systems relatively common-place.

• Chapter 1: Embedded control systems
• Chapter 2: System modeling
• Chapter 3: Performance requirements and design limitations
• Chapter 4: Controller design
• Chapter 5: Case study 1: embedded control of tank physical model
• Chapter 6: Case study 2: robust control of miniature helicopter
• Chapter 7: Case study 3: robust control of two-wheeled robot
• Appendix A: Elements of matrix analysis
• Appendix B: Elements of linear system theory
• Appendix C: Stochastic processes
• Appendix D: Identification of linear models
• Appendix E: Interfacing IMU with target microcontroller
• Appendix F: Measuring angular velocity with hall encoder