Detailansicht
Electrical Actuators
eBook - Applications and Performance
ISBN/EAN: 9781118586280
Umbreit-Nr.: 4572716
Sprache:
Englisch
Umfang: 528 S., 11.47 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 04.03.2013
Auflage: 1/2013
E-Book
Format: PDF
DRM: Adobe DRM
- Zusatztext
- <p>The different chapters of this book cover a large range of information regarding electrical actuators, including: synchronous and asynchronous machine modeling in order to measure and identify offline and online parameters using modern optimization methods; identification in real time of parameters with Luenberger filter and the extended Kalman filter; estimation of non-measurable variables, first by linear estimates and observers, then by lower observers. Robustness is a very problematic issue, as well, which is fully explored in a chapter dedicated to the subject. Finally, the estimate of non-measurable mechanical variables is particularly dealt with: estimate of load moment, then observation of the positioning of a command without mechanical sensor. The conditions to measure variables and real implementation of numerical algorithms are also examined with particular attention.</p>
- Kurztext
- Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for today s practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and asymptotic statistics and contains up-to-date information on the relevant topics of theory of probability, estimation, confidence intervals, non-parametric statistics and robustness, second-order processes in discrete and continuous time and diffusion processes, statistics for discrete and continuous time processes, statistical prediction, and complements in probability. This book is aimed at students studying courses on probability with an emphasis on measure theory and for all practitioners who apply and use statistics and probability on a daily basis.
- Autorenportrait
- <p><strong>Bernard de Fornel</strong> works for ENS Cachan, France.<p><strong>Jean-Paul Louis</strong> works for ENSEEIHT, Toulouse, France.