2002
DOI: 10.1080/00207170210126245
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On designing observers for time-delay systems with non-linear disturbances

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Cited by 81 publications
(33 citation statements)
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“…m is the neurondependent nonlinear disturbances on the network outputs, and satisfies the following Lipschitz condition: jf(t; x) 0 f(t; y)j jF(x 0 y)j (5) where the constant matrix F 2 n2n is known. Note that the nonlinearity description given in (5) has been frequently used in many papers dealing with nonlinear analysis [16].…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
“…m is the neurondependent nonlinear disturbances on the network outputs, and satisfies the following Lipschitz condition: jf(t; x) 0 f(t; y)j jF(x 0 y)j (5) where the constant matrix F 2 n2n is known. Note that the nonlinearity description given in (5) has been frequently used in many papers dealing with nonlinear analysis [16].…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
“…The observer design problem is studied for instance in [6,11,16,22,24] and references therein. [6] investigated the problem of state reconstruction from input and output measurements for nonlinear time delay systems and proposed a state observer.…”
Section: Observer Designmentioning
confidence: 99%
“…In [16], a generalized notion of linearization via output injections is studied and an observer is designed for nonlinear time delay systems. A quadratic matrix inequality approach and a linear matrix inequality approach are developed in [22] to solve the observer design problem. In [24], it is shown that the observer design problem can be formulated as a linear matrix inequality feasibility problem.…”
Section: Observer Designmentioning
confidence: 99%
“…Several varieties of state observer e.g., unknown input, disturbance decoupled, full-order, minimal-order, functional, etc. have been systematically investigated in [17]. Most frequently used observer systems are Luendberger observer, Kalman filter, and adaptive observer.…”
Section: Observers For Time-delay Systemsmentioning
confidence: 99%
“…Now by using observer design concept described in (17), the observer for the linear-time delay system considered in this paper can be defined as:…”
Section: X T and Y T Cx T    mentioning
confidence: 99%