Model-Based Control: Bridging Rigorous Theory and Advanced Technology /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer US : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4419-0895-7 |
Table of Contents:
- Fundamentals
- Linear Systems in Discrete Time
- Robust Controller Synthesis is Convex for Systems without Control Channel Uncertainties
- Conservation Laws and Lumped System Dynamics
- Polynomial Optimization Problems are Eigenvalue Problems
- Bridging Theory and Applied Technology
- Designing Instrumentation for Control
- Uncertain Model Set Calculation from Frequency Domain Data
- Robust Estimation for Automatic Controller Tuning with Application to Active Noise Control
- Identification of Parameters in Large Scale Physical Model Structures, for the Purpose of Model-Based Operations
- Applications in Motion Control Systems and Industrial Process Control
- Recovering Data from Cracked Optical Discs using Hankel Iterative Learning Control
- Advances in Data-driven Optimization of Parametric and Non-parametric Feedforward Control Designs with Industrial Applications
- Incremental Identification of Hybrid Models of Dynamic Process Systems
- Front Controllability in Two-Phase Porous Media Flow
- PhD Supervision by Okko H. Bosgra
- Okko H. Bosgra, Bibliographic Record.