Adaptive Neural Safe Tracking Control Design for a Class of Uncertain Nonlinear Systems With Output Constraints and Disturbances

Ma, Haoxiang; Yu, Ker‐Wei; Wu, Qingxian

doi:10.1109/tcyb.2021.3074566

Cited by 35 publications

(7 citation statements)

References 41 publications

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“…Assumption 1 (32). The reference signal y d of the satellite attitude, user-specified function z H and their second order derivatives are continuous, bounded.…”

Section: Control Objective and Preliminariesmentioning

confidence: 99%

Flexible performance‐based adaptive fault‐tolerant attitude tracking control for input‐constrained satellite

Li,

Yong,

Chen

et al. 2023

Adaptive Control & Signal

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SummaryUnder the actuator saturation and fault, the satellite attitude often violates the prescribed performance function, leading to the satellite attitude's instability. Therefore, the adaptive attitude tracking control problem for the satellite simultaneously considering the finite time‐based prescribed performance, the actuator saturation and the actuator fault is studied in this article. A modification performance function‐based control scheme is designed, which can avoid violating the designed modified performance functions when the actuator saturation occurs due to the actuator fault. A novel fault tolerant auxiliary system is developed, which is used to generate modification signals for adjusting the prescribed performance function. Consequently, the boundedness of all the closed‐loop signal under the designed control scheme is proved via Lyapunov function method. Finally, the feasibility of the designed satellite attitude control scheme is verified by a simulation example.

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“…Assumption 1 (32). The reference signal y d of the satellite attitude, user-specified function z H and their second order derivatives are continuous, bounded.…”

Section: Control Objective and Preliminariesmentioning

confidence: 99%

Flexible performance‐based adaptive fault‐tolerant attitude tracking control for input‐constrained satellite

Li,

Yong,

Chen

et al. 2023

Adaptive Control & Signal

Self Cite

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“…Step 2 : To estimate the unknown disturbance

{\boldsymbol{C}}_2

, a disturbance observer is constructed as 40

\left\{\begin{array}{c}{\hat{\boldsymbol{C}}}_2={\boldsymbol{\eta}}_2+{\boldsymbol{k}}_2^{\prime }{\boldsymbol{x}}_2\\ {}{\dot{\boldsymbol{\eta}}}_2=-{\boldsymbol{k}}_2^{\prime}\left({\boldsymbol{A}}_2+{\boldsymbol{B}}_2+{\hat{\boldsymbol{C}}}_2\right)+{\boldsymbol{z}}_2,\end{array}\right.\kern0.5em

where

{\boldsymbol{k}}_2^{\prime }

is the positive diagonal parameter matrix.

{\boldsymbol{\eta}}_2

represents the auxiliary vector.…”

Section: Adaptive Safe Controller Designmentioning

confidence: 99%

Adaptive safe control for tethered aircrafts with input and output constraints

Song

Zhang

Huang

et al. 2023

Intl J Robust & Nonlinear

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In this article, an adaptive safe control scheme is presented for tethered aircrafts subject to unknown disturbances, input saturations, and deferred asymmetric time‐varying output constraints. By integrating a shifting function into an asymmetric barrier Lyapunov function, the deferred asymmetric time‐varying output constraints are first solved. Then, to eliminate the conflict between input saturations and output constraints, an auxiliary system is designed to enlarge output constraint boundaries when input saturation occurs and the system has no tolerance for output constraints, which ensures system safety. Furthermore, disturbance observers are employed to estimate unknown disturbances. Finally, both theoretical proof and simulation results demonstrate the validity of the proposed control scheme.

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“…The tan-type BLF in ( 12) is used to solve the output error constraint, and the adaptive auxiliary parameters are used to resolve the negative effects of actuator bias failures and external perturbations. The intermediate controller of the system is designed as (47), the adaptive NN control law is designed as (49), and the adaptive auxiliary parameter control law is designed as (50).…”

Section: Control Designmentioning

confidence: 99%

Adaptive neural fault‐tolerant control of an uncertain 2‐DOF helicopter system with actuator faults and output error constrains

Cao

Zhang

Liu

et al. 2022

IET Control Theory & Appl

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This paper develops an adaptive neural fault‐tolerant control for an unknown two‐degree of freedom helicopter nonlinear system with output error constraints, actuator fault, and unknown external disturbances. A neural network disturbance observer is used to estimate system uncertainties and actuator gain failures. The tan‐type barrier Lyapunov equation is used to solve the system's output error constraint. To compensate for actuator bias failures and unknown external disturbances in the system, an adaptive auxiliary parameter is established. Furthermore, rigorously analyzing the chosen Lyapunov function, the system's stability is ensured. Finally, the numerical simulation results prove the rationality and effectiveness of the proposed control strategy.

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Adaptive Neural Safe Tracking Control Design for a Class of Uncertain Nonlinear Systems With Output Constraints and Disturbances

Cited by 35 publications

References 41 publications

Flexible performance‐based adaptive fault‐tolerant attitude tracking control for input‐constrained satellite

Flexible performance‐based adaptive fault‐tolerant attitude tracking control for input‐constrained satellite

Adaptive safe control for tethered aircrafts with input and output constraints

Adaptive neural fault‐tolerant control of an uncertain 2‐DOF helicopter system with actuator faults and output error constrains

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