Control and Optimization with Differential-Algebraic Constraints
Control and Optimization with Differential-Algebraic Constraints
Stephen L. Campbell, North Carolina State University
Volker Mehrmann, Technische Universität Berlin
CAD$113.95
Differential-algebraic equations (DAEs) are the most natural way to mathematically model many complex systems in science and engineering. This book provides a guide to the theory and practice of modelling with DAEs. In particular, the reader will learn to maximise the performance of their models by optimising the design parameters. Presented within are cutting-edge theory and state-of-the-art numerical methods for the optimal control of differential-algebraic equations, alongside real-world applications of the results. This accessible treatment of the subject, written by leading experts, is suitable for applied mathematicians, engineers and computational scientists from a variety of disciplines. It will be of interest to those developing theory and those working on real-world applications, especially in the optimal control of problems in chemical and mechanical engineering.
- Contains cutting-edge theory written by leading experts with both academic and industry experience
- Presents state-of-the-art numerical methods
- Includes real-world applications
Product details
November 2012Paperback
9781611972245
356 pages
255 × 178 × 16 mm
0.63kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- 1. DAEs, control, and optimization
- 2. Regularization of linear and nonlinear descriptor systems
- 3. Notes on linearization of DAEs and on optimization with differential-algebraic constraints
- 4. Spectra and leading directions for linear DAEs
- 5. StratiGraph tool: matrix stratifications in control applications
- 6. Descriptor system techniques in solving H â‚‚/ï‚¥-optimal fault detection and isolation problems
- 7. Normal forms, high-gain, and funnel control for linear differential-algebraic systems
- 8. Linear-quadratic optimal control problems with switch points and a small parameter
- 9. Mixed-integer DAE optimal control problems: necessary conditions and bounds
- 10. Optimal control of a delay PDE
- 11. Direct transcription with moving finite elements
- 12. Solving parameter estimation problems with SOCX
- 13. Control of integrated chemical process systems using underlying DAE models
- 14. DMPC for building temperature regulation
- 15. Dynamic regularization, level set shape optimization, and computed myography
- 16. The application of Pontryagin's minimum principle for endpoint optimization of batch processes.
