Predictor-Based Control for a Flexible Satellite Subject to Output Time Delay

The modified repetitive control system is a type of servomechanism for a periodic reference input. When modified repetitive control design methods are applied to real systems, the influence of uncertainties in the plant must be considered. In some cases, uncertainties in the plant make the modified repetitive control system unstable, even though the controller was designed to stabilize the nominal plant. Recently, the parameterization of all robust stabilizing modified repetitive controllers was obtained by Yamada et al. In addition, Yamada et al. proposed the parameterization of all robust stabilizing modified repetitive controllers for time-delay plants. However, no paper has proposed the parameterization of all robust stabilizing modified repetitive controllers for multiple-input/multiple-output time-delay plants. In this paper, we expand the result by Yamada et al. and propose the parameterization of all robust stabilizing modified repetitive controllers for multipleinput/multiple-output time-delay plants.

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Relation between skill revel and input-output time delay

IEEE International Symposium on Intelligent Control ◽

10.1109/cca.2006.285930 ◽

2006 ◽

Author(s):

Koichi Hidaka ◽

Kazumasa Saida ◽

Satoshi Suzuki

Keyword(s):

Time Delay ◽

Input Output ◽

Output Time

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Identification of nonlinear state-space time-delay system

Assembly Automation ◽

10.1108/aa-08-2018-115 ◽

2019 ◽

Vol 40 (1) ◽

pp. 22-30

Author(s):

Xin Liu ◽

Hang Zhang ◽

Pengbo Zhu ◽

Xianqiang Yang ◽

Zhiwei Du

Keyword(s):

Time Delay ◽

Em Algorithm ◽

State Space ◽

Latent Variable ◽

Industrial Process ◽

Delay System ◽

Model Parameters ◽

Content Type ◽

Output Time ◽

Nonlinear State

Purpose This paper aims to investigate an identification strategy for the nonlinear state-space model (SSM) in the presence of an unknown output time-delay. The equations to estimate the unknown model parameters and output time-delay are derived simultaneously in the proposed strategy. Design/methodology/approach The unknown integer-valued time-delay is processed as a latent variable which is uniformly distributed in a priori known range. The estimations of the unknown time-delay and model parameters are both realized using the Expectation-Maximization (EM) algorithm, which has a good performance in dealing with latent variable issues. Moreover, the particle filter (PF) with an unknown time-delay is introduced to calculated the Q-function of the EM algorithm. Findings Although amounts of effective approaches for nonlinear SSM identification have been developed in the literature, the problem of time-delay is not considered in most of them. The time-delay is commonly existed in industrial scenario and it could cause extra difficulties for industrial process modeling. The problem of unknown output time-delay is considered in this paper, and the validity of the proposed approach is demonstrated through the numerical example and a two-link manipulator system. Originality/value The novel approach to identify the nonlinear SSM in the presence of an unknown output time-delay with EM algorithm is put forward in this work.

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