Adaptive fuzzy neural network-based finite time prescribed performance control for uncertain robotic systems with actuator saturation

Liu, Zhuang; Zhao, Yue; Zhang, Ouyang; Gao, Yabin; Liu, Jianxing

doi:10.1007/s11071-024-09468-0

Nonlinear Dyn

2024

DOI: 10.1007/s11071-024-09468-0

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Adaptive fuzzy neural network-based finite time prescribed performance control for uncertain robotic systems with actuator saturation

Zhuang Liu,

Yue Zhao,

Ouyang Zhang

et al.

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2024

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Cited by 2 publications

References 43 publications

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Output Feedback Control of Variable-loaded Four-joint Manipulators With Unknown Saturated Actuator Dynamics

Al Saaideh,

Al-Rawashdeh,

Aljanaideh

et al. 2024

Int. J. Control Autom. Syst.

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Output Feedback Control of Variable-loaded Four-joint Manipulators With Unknown Saturated Actuator Dynamics

Al Saaideh,

Al-Rawashdeh,

Aljanaideh

et al. 2024

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

Observer-Based Prescribed Performance Adaptive Neural Network Tracking Control for Fractional-Order Nonlinear Multiple-Input Multiple-Output Systems Under Asymmetric Full-State Constraints

Lu,

Yu,

Wang

2024

Fractal Fract

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In this work, the practical prescribed performance tracking issue for a class of fractional-order nonlinear multiple-input multiple-output (MIMO) systems with asymmetric full-state constraints and unmeasurable system states is investigated. A neural network (NN) nonlinear state observer is developed to estimate the unmeasurable states. Furthermore, the barrier Lyapunov functions with the settling time regulator are employed to deal with the asymmetric full-state constraint from the fractional-order MIMO system. On this ground, the prescribed performance adaptive tracking control approach is designed, assuring that all system states do not exceed the prescribed boundaries, and the tracking errors converge to the predetermined compact sets within a predefined time. Finally, two simulation examples are presented to show the effectiveness and practicability of the proposed control scheme.

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Adaptive fuzzy neural network-based finite time prescribed performance control for uncertain robotic systems with actuator saturation

Cited by 2 publications

References 43 publications

Output Feedback Control of Variable-loaded Four-joint Manipulators With Unknown Saturated Actuator Dynamics

Output Feedback Control of Variable-loaded Four-joint Manipulators With Unknown Saturated Actuator Dynamics

Observer-Based Prescribed Performance Adaptive Neural Network Tracking Control for Fractional-Order Nonlinear Multiple-Input Multiple-Output Systems Under Asymmetric Full-State Constraints

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