Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay

J Na; G Herrmann; X M Ren; P Barber

doi:10.1109/CDC.2009.5399674

Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay

J Na, G Herrmann, X M Ren, P Barber

Bristol Robotics Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

9 Citations (Scopus)

Abstract

This paper proposes an adaptive observer for discrete-time MIMO systems with unknown nonlinear dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. By using a high-order neural network (HONN), the exact system model, Lipschitz or norm-boundedness assumptions of unknown nonlinearities are not required. Other constraints used in neural-based observer design, i.e., strictly positive real (SPR) or matching conditions, are also removed. Applicability of the presented scheme is verified by simulation.

Translated title of the contribution	Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay
Original language	English
Title of host publication	47th IEEE Conference on Decision and Control, Shanghai, PR China
Pages	6137 - 6142
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2009.5399674
Publication status	Published - 2009

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Name and Venue of Event: Shanghai
Conference Organiser: IEEE

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title = "Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay",

abstract = "This paper proposes an adaptive observer for discrete-time MIMO systems with unknown nonlinear dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. By using a high-order neural network (HONN), the exact system model, Lipschitz or norm-boundedness assumptions of unknown nonlinearities are not required. Other constraints used in neural-based observer design, i.e., strictly positive real (SPR) or matching conditions, are also removed. Applicability of the presented scheme is verified by simulation.",

author = "J Na and G Herrmann and Ren, \{X M\} and P Barber",

note = "Name and Venue of Event: Shanghai Conference Organiser: IEEE",

year = "2009",

doi = "10.1109/CDC.2009.5399674",

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AU - Herrmann, G

AU - Ren, X M

AU - Barber, P

N1 - Name and Venue of Event: Shanghai Conference Organiser: IEEE

PY - 2009

Y1 - 2009

N2 - This paper proposes an adaptive observer for discrete-time MIMO systems with unknown nonlinear dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. By using a high-order neural network (HONN), the exact system model, Lipschitz or norm-boundedness assumptions of unknown nonlinearities are not required. Other constraints used in neural-based observer design, i.e., strictly positive real (SPR) or matching conditions, are also removed. Applicability of the presented scheme is verified by simulation.

AB - This paper proposes an adaptive observer for discrete-time MIMO systems with unknown nonlinear dynamics and time-delay. The case that the system output equation has time-delay and nonlinearities is also studied. By using a high-order neural network (HONN), the exact system model, Lipschitz or norm-boundedness assumptions of unknown nonlinearities are not required. Other constraints used in neural-based observer design, i.e., strictly positive real (SPR) or matching conditions, are also removed. Applicability of the presented scheme is verified by simulation.

U2 - 10.1109/CDC.2009.5399674

DO - 10.1109/CDC.2009.5399674

M3 - Conference Contribution (Conference Proceeding)

SN - 9781424438716

SP - 6137

EP - 6142

BT - 47th IEEE Conference on Decision and Control, Shanghai, PR China

ER -

Nonlinear Observer Design for Discrete MIMO Systems with Unknown Time Delay

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