Further Analysis on Observability of Stochastic Periodic Systems with Application to Robust Control
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Publication:5377251
DOI10.1007/978-981-10-2335-4_7zbMath1414.93177OpenAlexW2519723150MaRDI QIDQ5377251
Publication date: 24 May 2019
Published in: Proceedings of 2016 Chinese Intelligent Systems Conference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-10-2335-4_7
observabilityspectral criterion\(H_2/H_{\infty}\) controlunobservable subspacestochastic periodic systems
Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Observability (93B07) Stochastic systems in control theory (general) (93E03)
Cites Work
- Infinite horizon \(H_{2}/H_{\infty }\) control for discrete-time time-varying Markov jump systems with multiplicative noise
- On the observability and detectability of linear stochastic systems with Markov jumps and multiplicative noise
- Spectral tests for observability and detectability of periodic Markov jump systems with nonhomogeneous Markov chain
- Periodic systems. Filtering and control
- Detectability and observability of discrete-time stochastic systems and their applications
- On stabilizability and exact observability of stochastic systems with their applications.
- Discrete-time indefinite LQ control with state and control dependent noises
- Observability and detectability of discrete-time stochastic systems with Markovian jump
- Positive operators and an inertia theorem
- \(H_\infty\) control and estimation of state-multiplicative linear systems.
- Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
- Stabilization of some stochastic discrete–time control systems
- H∞-type control for discrete-time stochastic systems
- Markowitz's Mean-Variance Portfolio Selection With Regime Switching: From Discrete-Time Models to Their Continuous-Time Limits
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