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Research article

First published 2023-1

Disturbance observer-based control with adaptive neural network for unknown nonlinear system

Jing Hu, Meirong Zheng

Measurement and Control

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Research article

First published 2021-2

Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters

Lei Chu, Yuqun Han, Shanliang Zhu [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2025

Adaptive fixed-time control for stochastic nonlinear systems with unknown covariance noise

Zhicheng Wei, Huifang Min

Transactions of the Institute of Measurement and Control

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Research article

First published 2021-6

Adaptive tracking control of stochastic nonlinear systems with unknown time-varying powers

Huijuan Li, Wuquan Li, Jianzhong Gu

Transactions of the Institute of Measurement and Control

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Research article

First published 2021-10

Robust adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems with unknown control directions

Sofiane Doudou, Farid Khaber

Transactions of the Institute of Measurement and Control

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Research article

First published 2020-11

Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions

Chang-E Ren, CL Philip Chen

Transactions of the Institute of Measurement and Control

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Research article

First published 2019-9

Reduced-order observer design with unknown input for fractional order descriptor nonlinear systems

Tao Zhan, Shuping Ma

Transactions of the Institute of Measurement and Control

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Research article

First published 2021-12

Fuzzy fault-tolerant containment control for multi-agent systems with unknown nonlinear dynamics

Malika Sader, Fuyong Wang, Zhongxin Liu [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2026-1

Optimized dead-zone control based on a sliding-mode mechanism for a class of unknown nonlinear dynamic systems

Shuaihua Ma, Wenxia Sun, Bin Li [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2019-8

Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction

Tarek Bensidhoum, Farah Bouakrif, Michel Zasadzinski

Transactions of the Institute of Measurement and Control

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