- 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
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
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Variance-Constrained Multi-Objective Stochastic Control and Filtering
320![Variance-Constrained Multi-Objective Stochastic Control and Filtering](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Variance-Constrained Multi-Objective Stochastic Control and Filtering
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112.0
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Product Details
ISBN-13: | 9781118929469 |
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Publisher: | Wiley |
Publication date: | 04/27/2015 |
Series: | Wiley Series in Dynamics and Control of Electromechanical Systems |
Sold by: | JOHN WILEY & SONS |
Format: | eBook |
Pages: | 320 |
File size: | 35 MB |
Note: | This product may take a few minutes to download. |
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