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Approximate set-valued observers for nonlinear systems
Jeff S. Shamma
*
, Kuang Yang Tu
*
Corresponding author for this work
Computer, Electrical and Mathematical Sciences and Engineering
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peer-review
95
Scopus citations
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INIS
approximations
100%
calculation methods
50%
disturbances
50%
equations
50%
filters
50%
noise
50%
nonlinear systems
100%
output
50%
signals
100%
trajectories
50%
vectors
100%
Mathematics
Approximates
100%
Initial Condition
16%
Kalman Filtering
16%
Linear Program
16%
Linear Time
16%
Linearization
16%
Nonlinear System
100%
Polytope
33%
State Equation
16%
State Vector
33%
Valued Set
100%
Computer Science
Computation
25%
Extended Kalman Filter
25%
Initial Condition
25%
Linear Program
25%
Models
25%
Nonlinear System
100%
State Equation
25%
State Estimate
100%
Vectors
50%
Economics, Econometrics and Finance
State Space Model
100%