Variance-Constrained Multi-Objective Stochastic Control and Filtering
* Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena * Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance * Includes case studies of several nonlinear stochastic systems * Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations * Considers both time-invariant systems and time-varying systems * Exploits newly developed techniques to handle the emerging mathematical and computational challenges
* Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena * Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance * Includes case studies of several nonlinear stochastic systems * Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations * Considers both time-invariant systems and time-varying systems * Exploits newly developed techniques to handle the emerging mathematical and computational challenges
| Autor: | Bo Yuming Ma Lifeng Wang Zidong |
|---|---|
| ISBN: | 9781118929490 |
| Sprache: | Englisch |
| Produktart: | Gebunden |
| Verlag: | Wiley |
| Veröffentlicht: | 29.05.2015 |
| Schlagworte: | Applied Mathematics in Science Computational / Numerical Methods Control Process & Measurements Maschinenbau Mathematics Mathematik Mathematik in den Naturwissenschaften Mechanical Engineering Mess- u. Regeltechnik Numerisches Verfahren Rechnergestützte / Numerische Verfahren im Maschinenbau Regelungstechnik |
Anmelden