Variance-Constrained Multi-Objective Stochastic Control and Filtering
L
Lifeng Ma Z
Zidong Wang Y
Yuming Bo- 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
Publication
2015
Pages
320
Format
Epub
Publisher
Wiley
Excerpt
Collection
Wiley Series in Dynamics and Control of Electromechanical Systems
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