The Control Handbook

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: - 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: - Control System Fundamentals - Control System Advanced Methods

Automotive: Linear Parameter-Varying Control of Continuous-Time Nonlinear Systems. Powertrain Control. Vehicle Controls. Model-Based Supervisory Control for Energy Optimization of Hybrid-Electric Vehicles. Purge Scheduling for Dead-Ended Anode Operation of PEM Fuel Cells. Aerospace: Aerospace Real-Time Control System and Software. Stochastic Decision Making and Aerial Surveillance Control Strategies for Teams of Unmanned Aerial Vehicles. Control Allocation. Swarm Stability. Industrial: Control of Machine Tools and Machining Processes. Process Control in Semiconductor Manufacturing. Control of Polymerization Processes. Multiscale Modeling and Control of Porous Thin Film Growth. Control of Particulate processes. Nonlinear Model Predictive Control for Batch Processes. The Use of Multivariate Statistics in Process Control. Plantwide Control. Automation and Control Solutions for Flat Strip Metal Processing. Biological and Medical: Model-Based Control of Biochemical Reactors. Robotic Surgery. Stochastic Gene Expression: Modeling. Analysis. and Identification. Modeling the Human Body as a Dynamical System: Applications to Drug Discovery and Development. Electronics: Control of Brushless DC Motors. Hybrid Model Predictive Control of the Boost Converter. Networks: The SNR Approach to Networked Control. Optimization and Control of Communication Networks. Miscellaneous: Advanced Motion Control Design. Color Controls: An Advanced Feedback System. The Construction of Portfolios of Financial Assets: An Application of Optimal Stochastic Control. Earthquake Response Control for Civil Structures. Quantum Estimation and Control. Motion Control of Marine Craft. Control of Unstable Oscillations in Flows. Modeling and Control of Air Conditioning and Refrigeration Systems.