{
"item_title" : "Variance-Constrained Multi-Objective Stochastic Control and Filtering",
"item_author" : [" Lifeng Ma", "Zidong Wang", "Yuming Bo "],
"item_description" : " 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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Variance-Constrained Multi-Objective Stochastic Control and Filtering
Overview
- 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
This item is Non-Returnable
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Details
- ISBN-13: 9781118929490
- ISBN-10: 1118929497
- Publisher: Wiley
- Publish Date: June 2015
- Dimensions: 9.6 x 6.7 x 0.8 inches
- Shipping Weight: 1.35 pounds
- Page Count: 336
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