Adaptive Systems Engineering: Bridging Software Engineering and Dynamic Optimization for Modern Application Development
Adaptive Systems Engineering: Bridging Software Engineering and Dynamic Optimization for Modern Application Development
About the Book
"Adaptive Systems Engineering: Bridging Software Engineering and Dynamic Optimization for Modern Application Development" offers a comprehensive exploration of how control theory and software engineering converge to shape today’s most advanced automated systems. From robotics and autonomous vehicles to smart grids and cyber-physical systems, this book provides both foundational knowledge and cutting-edge techniques, including modern control strategies, optimization, machine learning, and real-time implementation. Designed for engineers, researchers, and students, it balances theory with practical case studies while addressing ethical and societal impacts—making it an essential guide for anyone developing intelligent, safe, and efficient control solutions. Whether you're a software engineer delving into control algorithms or a control theorist integrating computational methods, this book equips you with interdisciplinary insights for tomorrow’s challenges
About the Author
Table of Contents
- 1. Introduction to Control Systems
- 2. Mathematical Essentials
- 3. Dynamical Systems and Modeling
- 4. Classical Control
- 5. Modern Control Techniques
- 6. Optimization for Control Systems
- 7. Control Barrier Functions and Safety
- 8. Multi-Agent Systems
- 9. Robotics and Autonomous Systems
- 10. Software Engineering for Control Systems
- 11. Machine Learning and Data-Driven Control
- 12. Cyber-Physical Systems (CPS) and IoT Integration
- 13. Resilient and Fault-Tolerant Control
- 14. Control Systems in Energy and Sustainability
- 15. Real-Time and Embedded Control Systems
- 16. Human-Centric Control Systems
- 17. Ethics and Societal Impact of Control Systems
- 18. Emerging Trends
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