Variance-Constrained Multi-Objective Stochastic Control and Filtering

Variance-Constrained Multi-Objective Stochastic Control and Filtering Bo, Yuming, Ma, Lifeng, Wang, Zidong
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 Categories:
Computers – Hardware
Mathematics – Automatic Control Theory
Year:
2015
Edition:
1
Publisher:
Wiley-Blackwell
Language:
english
Pages:
336 / 366
ISBN 10:
1118929497
ISBN 13:
9781118929490
Series:
Wiley series in dynamics and control of electromechanical systems
File:
177 MB