On observability and detectability of continuous-time stochastic Markov jump systems
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Publication:498075
DOI10.1007/s11424-015-2253-yzbMath1320.93075OpenAlexW1995180626MaRDI QIDQ498075
Publication date: 25 September 2015
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-015-2253-y
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Cites Work
- On the observability and detectability of linear stochastic systems with Markov jumps and multiplicative noise
- On unified concepts of detectability and observability for continuous-time stochastic systems
- On detectability of stochastic systems
- Detectability and observability of discrete-time stochastic systems and their applications
- Stability results for discrete-time linear systems with Markovian jumping parameters
- On stabilizability and exact observability of stochastic systems with their applications.
- Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control
- Detectability and Stabilizability of Time-Varying Discrete-Time Linear Systems
- Stochastic stability properties of jump linear systems
- Convergence and Stability Properties of the Discrete Riccati Operator Equation and the Associated Optimal Control and Filtering Problems
- On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
- Generalized Lyapunov Equation Approach to State-Dependent Stochastic Stabilization/Detectability Criterion
- Observability of linear stochastic uncertain systems
- Stochastic>tex<$H_2/H_infty $>/tex<Control WithState-Dependent Noise
- ${\cal H}$-Representation and Applications to Generalized Lyapunov Equations and Linear Stochastic Systems
- On Detectability and Observability of Discrete‐Time Stochastic <scp>M</scp>arkov Jump Systems with State‐Dependent Noise
- Observability and detectability of a class of discrete-time stochastic linear systems
- On the detectability and observability of discrete-time Markov jump linear systems
