Unknown Input Observers Design for Time-Delay Systems Application to An Open-Channel

Koenig, Damien; Bedjaoui, Nadia; Litrico, Xavier

doi:10.1109/cdc.2005.1583087

Cited by 19 publications

(25 citation statements)

References 13 publications

(18 reference statements)

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“…When not limited to designing proper UIOs or UIFOs, these conditions can be relaxed ( [29], [4], [27]). The condition (8) briefly explains that the number of independent outputs must be larger than or equal to the number of independent unknown-inputs. The conditions (6) and (8) are also called matching conditions.…”

Section: Unknown-input Functional Observabilitymentioning

confidence: 99%

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On unknown-Input Functional Observability of linear systems

Mohajerpoor

Asayesh

Nahavandi

2015

2015 American Control Conference (ACC)

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Finding the least possible order of a stable Unknown-Input Functional Observer (UIFO) has always been a challenge in observer design theory. A practical recursive algorithm is proposed in this technical note to design a minimal multi-functional observer for multi-input multi-output (MIMO) linear time-invariant (LTI) systems with unknown-inputs. The concept of unknown-input functional observability is introduced, and it is used as a certificate of the convergence of our algorithm. The proposed procedure looks for a number of additional auxiliary functions to be augmented to the original functions desired for reconstruction. The resulting UIFO is proper, and minimal (of minimum possible order). Moreover, the algorithm does not need the system to be unknown-input observable. A numerical example shows the procedure as well as the effectiveness of the proposed algorithm.Keywords: Unknown-input functional observers, functional observability, invariant zeros and transmission zeros, null space and range space

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Section: Unknown-input Functional Observabilitymentioning

confidence: 99%

“…The observer is independent of the values of the unknown-inputs. UIFOs have even more importance than regular observers due to their wide range of applications and designing robust observers ( [4], [5], [6], [7], [8]). …”

Section: Introductionmentioning

confidence: 99%

On unknown-Input Functional Observability of linear systems

Mohajerpoor

Asayesh

Nahavandi

2015

2015 American Control Conference (ACC)

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“…This consists of generating a set of m observers related to a residual: (19) with i ∈ {1, m} : number of outputs, j ∈ {1, m} : number of observers. is sensitive (i.e., robust) to one element of the vector f (represented by 1) and insensitive to the m-1 other …”

Section: Residual Evaluationmentioning

confidence: 99%

Unknown Input Fault Detection and Isolation Observer Design for Neutral Systems

Elhsoumi¹,

Ali²,

Harabi³

et al. 2016

Asian Journal of Control

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This paper deals with actuator fault diagnosis of neutral delayed systems with multiple time delays using an unknown input observer. The main purpose is to design an observer that guarantees the asymptotic stability of the estimate error dynamics and the actuator fault detection. The existence conditions for such an observer are established. The main problem studied in this paper aims at designing observer-based fault detection and isolation. The designed observer enhances the robust diagnosis performance, including rapidity and accuracy, and generates residuals that enjoy perfect decoupling properties among faults. Based on Lyapunov stability theory, the design of the observer is formulated in terms of linear matrix inequalities, and the diagnosis scheme is based on a bank of unknown input observers for residual generation that guarantees fault detection and isolation in the presence of external disturbances. A numerical example is presented to illustrate the efficiency of the proposed approach.Key Words: Neutral system with multiple delays, unknown input observer, fault detection and isolation (FDI), linear matrix inequality (LMI).

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“…Yang and Saif (1998) addressed fault diagnosis for a class of state-delayed dynamic systems, in which the actuator and sensor faults, as well as other effects, such as disturbances and higher-order nonlinearities, were considered as unknown inputs. More recently, Koenig et al (2005) dealt with the design problem of full-order observers for linear continuous delayed state and inputs systems with unknown input and time-varying delays. A method to design an Unknown Input Observer (UIO) for such systems was proposed based on delay-dependent stability conditions of the state estimation error system.…”

Section: Deterministic Packet Lossesmentioning

confidence: 99%

Fault Diagnosis of Networked Control Systems

Aubrun¹,

Sauter²,

Yamé³

2008

International Journal of Applied Mathematics and Computer Science

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Networked Control Systems (NCSs) deal with feedback control systems with loops closed via data communication networks. Control over a network has many advantages compared with traditionally controlled systems, such as a lower implementation cost, reduced wiring, simpler installation and maintenance and higher reliability. Nevertheless, the networkinduced delay, packet dropout, asynchronous behavior and other specificities of networks will degrade the performance of closed-loop systems. In this context, it is necessary to develop a new theory for systems that operate in a distributed and asynchronous environment. Research on Fault Detection and Isolation (FDI) for NCSs has received increasing attention in recent years. This paper reviews the state of the art in this topic.

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Unknown Input Observers Design for Time-Delay Systems Application to An Open-Channel

Cited by 19 publications

References 13 publications

On unknown-Input Functional Observability of linear systems

On unknown-Input Functional Observability of linear systems

Unknown Input Fault Detection and Isolation Observer Design for Neutral Systems

Fault Diagnosis of Networked Control Systems

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