Randomized Algorithms for Analysis and Control of Uncertain Systems
Publication year: 2005
: 978-1-84628-052-8
The main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncertain systems. Using so-called "randomized algorithms", this emerging area of research guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control.
: Engineering, Analysis, Control, Control Theory, Linear Systems, Monte Carlo method, Probabilistic Design Methods, Probabilistic Methods for Systems and Control, Randomized Algorithms, Robust Control, STATISTICA, Sample Generation Techniques, Uncertain Systems, algorithms, complexity, linear optimization
