Continuous-Time Markov Jump Linear Systems
It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of high-integrity systems or a safety-critical system. Such systems can be found in aircraft control, nuclear power stations, robotic man...
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                  | Main Authors: | , , | 
|---|---|
| 企業作者: | |
| 格式: | 電子 電子書 | 
| 語言: | English | 
| 出版: | Berlin, Heidelberg :
        Springer Berlin Heidelberg : Imprint: Springer,
    
      2013. | 
| 版: | 1st ed. 2013. | 
| 叢編: | Probability and Its Applications, | 
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-642-34100-7 | 
| 標簽: | 添加標簽 
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                書本目錄: 
            
                  - 1.Introduction
- 2.A Few Tools and Notations
- 3.Mean Square Stability
- 4.Quadratic Optimal Control with Complete Observations
- 5.H2 Optimal Control With Complete Observations
- 6.Quadratic and H2 Optimal Control with Partial Observations
- 7.Best Linear Filter with Unknown (x(t), θ(t))
- 8.H_$infty$ Control
- 9.Design Techniques
- 10.Some Numerical Examples
- A.Coupled Differential and Algebraic Riccati Equations
- B.The Adjoint Operator and Some Auxiliary Results
- References. - Notation and Conventions
- Index.



