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Lyapunov-based nonlinear observer design for stochastic systems
E. Yaz, A. Azemi
Penn State Brandywine
Research output
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Contribution to journal
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Conference article
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peer-review
3
Scopus citations
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Dive into the research topics of 'Lyapunov-based nonlinear observer design for stochastic systems'. Together they form a unique fingerprint.
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Keyphrases
Design Methodology
100%
Lyapunov
100%
Discrete-time
100%
Continuous-time
100%
State Estimation
100%
Mean Square
100%
Estimation Error
100%
Stability Results
100%
Stochastic Systems
100%
Observer Design
100%
Lyapunov-based
100%
Nonlinear Stochastic Systems
100%
Stochastic System Model
100%
Stochastic Stability
100%
Nonlinear Observer Design
100%
Exponential Convergence
100%
Optimization Theory
100%
Engineering
Stochastic System
100%
State Estimation
50%
Illustrates
50%
Rate of Convergence
50%
Discrete Time
50%
Continuous Time
50%
Estimation Error
50%
Mathematics
Stochastic System
100%
Stochastics
50%
Discrete Time
50%
Mean Square
50%
Stability Result
50%
Continuous Time
50%
Exponential Rate
50%