Robust H∞ observer design of linear state delayed systems with parametric uncertainty: the discrete-time case

Automatica ◽  
1999 ◽  
Vol 35 (6) ◽  
pp. 1161-1167 ◽  
Author(s):  
Zidong Wang ◽  
Biao Huang ◽  
H. Unbehauen
Keyword(s):  
Discrete Time ◽  
Parametric Uncertainty ◽  
Observer Design ◽  
Delayed Systems ◽  
Linear State ◽  
Discrete Time Case

Model-Based Discrete Linear State Estimator for Nonlinearizable Systems With State-Dependent Noise

1990 ◽  
Vol 112 (4) ◽  
pp. 774-781 ◽  
Author(s):  
R. J. Chang
Keyword(s):  
Discrete Time ◽  
Continuous Model ◽  
Equivalent Model ◽  
State Estimator ◽  
Time Model ◽  
State Dependent ◽  
Present Technique ◽  
Linear State ◽  
Noisy Measurement ◽  
Time Linear

A practical technique to derive a discrete-time linear state estimator for estimating the states of a nonlinearizable stochastic system involving both state-dependent and external noises through a linear noisy measurement system is presented. The present technique for synthesizing a discrete-time linear state estimator is first to construct an equivalent reference linear model for the nonlinearizable system such that the equivalent model will provide the same stationary covariance response as that of the nonlinear system. From the linear continuous model, a discrete-time state estimator can be directly derived from the corresponding discrete-time model. The synthesizing technique and filtering performance are illustrated and simulated by selecting linear, linearizable, and nonlinearizable systems with state-dependent noise.

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