
- 944 pages
- English
- PDF
- Available on iOS & Android
About this book
At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996.
Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields.
Now expanded from one to three volumes, The Control Handbook, Second Edition organizes cutting-edge contributions from more than 200 leading experts. The second volume, Control System Applications, includes 35 entirely new applications organized by subject area. Covering the design and use of control systems, this volume includes applications for:
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- Automobiles, including PEM fuel cells
- Aerospace
- Industrial control of machines and processes
- Biomedical uses, including robotic surgery and drug discovery and development
- Electronics and communication networks
Other applications are included in a section that reflects the multidisciplinary nature of control system work. These include applications for the construction of financial portfolios, earthquake response control for civil structures, quantum estimation and control, and the modeling and control of air conditioning and refrigeration systems.
As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances.
Progressively organized, the other two volumes in the set include:
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- Control System Fundamentals
- Control System Advanced Methods
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Information
Table of contents
- Front cover
- Contents
- Preface to the Second Edition
- Acknowledgments
- Editorial Board
- Editor
- Contributors
- Part I: Automotive
- Chapter 1. Linear Parameter-Varying Control of Nonlinear Systems with Applications to Automotive and Aerospace Controls*
- Chapter 2. Powertrain Control*
- Chapter 3. Vehicle Controls
- Chapter 4. Model-Based Supervisory Control for Energy Optimization of Hybrid-Electric Vehicles
- Chapter 5. Purge Scheduling for Dead-Ended Anode Operation of PEM Fuel Cells
- Part II: Aerospace
- Chapter 6. Aerospace Real-Time Control System and Software
- Chapter 7. Stochasitc Decision Making and Aerial Surveillance Control Strategies for Teams of Unmanned Aerial Vehicles
- Chapter 8. Control Allocation
- Chapter 9. Swarm Stability
- Part III: Industrial
- Chapter 10. Control of Machine Tools and Machining Processes
- Chapter 11. Process Control in Semiconductor Manufacturing
- Chapter 12. Control of Polymerization Processes
- Chapter 13. Multiscale Modeling and Control of Porous Thin Film Growth
- Chapter 14. Control of Particulate Processes
- Chapter 15. Nonlinear Model Predictive Control for Batch Processes
- Chapter 16. The Use of Multivariate Statistics in Process Control
- Chapter 17. Plantwide Control
- Chapter 18. Automation and Control Solutions for Flat Strip Metal Processing
- Part IV: Biological and Medical
- Chapter 19. Model-Based Control of Biochemical Reactors
- Chapter 20. Robotic Surgery
- Chapter 21. Stochastic Gene Expression: Modeling, Analysis, and Identification*
- Chapter 22. Modeling the Human Body as a Dynamical System: Applications to Drug Discovery and Development
- Part V: Electronics
- Chapter 23. Control of Brushless DC Motors
- Chapter 24. Hybrid Model Predictive Control of the Boost Converter
- Part VI: Networks
- Chapter 25. The SNR Approach to Networked Control
- Chapter 26. Optimization and Control of Communication Networks
- Part VII: Special Applications
- Chapter 27. Advanced Motion Control Design
- Chapter 28. Color Controls: An Advanced Feedback System
- Chapter 29. The Contruction of Portfolios of Financial Assets: An Application of Optimal Stochastic Control
- Chapter 30. Earthquake Response Control for Civil Structures
- Chapter 31. Quantum Estimation and Control
- Chapter 32. Motion Control of Marine Craft
- Chapter 33. Control of Unstable Oscillations in Flows
- Chapter 34. Modeling and Control of Air Conditioning and Refrigeration Systems
- Index
- Back cover
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