Variance-Constrained Multi-Objective Stochastic Control and Filtering

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Variance-Constrained Multi-Objective Stochastic Control and Filtering

Variance-Constrained Multi-Objective Stochastic Control and Filtering By Lifeng Ma, Yuming Bo, Zidong Wang
2015 | 336 Pages | ISBN: 1118929497 | PDF (conv) | 19 MB

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
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Tags: Variance, Objective, Stochastic, Control, Filtering

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