Observer‐based optimal fault‐tolerant tracking control for input‐constrained interconnected nonlinear systems with mismatched disturbances

Summary This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances via adaptive dynamic programming (ADP). Firstly, an augmented system consisting of tracking error and the referenc...

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Published inOptimal control applications & methods Vol. 45; no. 6; pp. 2572 - 2595
Main Authors Liu, Shihui, Xu, Ning, Zhao, Ning, Zhang, Liang
Format Journal Article
LanguageEnglish
Published Glasgow Wiley Subscription Services, Inc 01.11.2024
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Abstract Summary This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances via adaptive dynamic programming (ADP). Firstly, an augmented system consisting of tracking error and the reference trajectory is constructed, and then the original optimal tracking control problem is transformed into the optimal regulation control problem of the augmented system. An integral sliding‐mode‐based optimal fault‐tolerant control scheme is developed to eliminate the effect of actuator faults and guarantee the optimal control performance. Furthermore, a neural network‐based observer is designed to identify the completely unknown system dynamics based on the input‐output data, thereby relaxing the restriction on system dynamics. Subsequently, the modified Hamilton‐Jacobi‐Bellman equations are solved by using the ADP algorithm under a critic network framework. According to the Lyapunov approach, all signals in the closed‐loop augmented system are uniformly ultimately bounded. Finally, the effectiveness of the developed control scheme is demonstrated via simulation results. This paper investigates an optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances. An observer‐based optimal fault‐tolerant control scheme is developed under a critic network framework by combining integral sliding‐mode control technique. According to the Lyapunov approach, all signals in the closed‐loop augmented system are uniformly ultimately bounded. The effectiveness of the developed control scheme is demonstrated via simulation results.
AbstractList This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances via adaptive dynamic programming (ADP). Firstly, an augmented system consisting of tracking error and the reference trajectory is constructed, and then the original optimal tracking control problem is transformed into the optimal regulation control problem of the augmented system. An integral sliding‐mode‐based optimal fault‐tolerant control scheme is developed to eliminate the effect of actuator faults and guarantee the optimal control performance. Furthermore, a neural network‐based observer is designed to identify the completely unknown system dynamics based on the input‐output data, thereby relaxing the restriction on system dynamics. Subsequently, the modified Hamilton‐Jacobi‐Bellman equations are solved by using the ADP algorithm under a critic network framework. According to the Lyapunov approach, all signals in the closed‐loop augmented system are uniformly ultimately bounded. Finally, the effectiveness of the developed control scheme is demonstrated via simulation results.
Summary This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances via adaptive dynamic programming (ADP). Firstly, an augmented system consisting of tracking error and the reference trajectory is constructed, and then the original optimal tracking control problem is transformed into the optimal regulation control problem of the augmented system. An integral sliding‐mode‐based optimal fault‐tolerant control scheme is developed to eliminate the effect of actuator faults and guarantee the optimal control performance. Furthermore, a neural network‐based observer is designed to identify the completely unknown system dynamics based on the input‐output data, thereby relaxing the restriction on system dynamics. Subsequently, the modified Hamilton‐Jacobi‐Bellman equations are solved by using the ADP algorithm under a critic network framework. According to the Lyapunov approach, all signals in the closed‐loop augmented system are uniformly ultimately bounded. Finally, the effectiveness of the developed control scheme is demonstrated via simulation results. This paper investigates an optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances. An observer‐based optimal fault‐tolerant control scheme is developed under a critic network framework by combining integral sliding‐mode control technique. According to the Lyapunov approach, all signals in the closed‐loop augmented system are uniformly ultimately bounded. The effectiveness of the developed control scheme is demonstrated via simulation results.
Author Xu, Ning
Zhang, Liang
Zhao, Ning
Liu, Shihui
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Snippet Summary This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints...
This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and...
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SubjectTerms Actuators
adaptive dynamic programming
Adaptive systems
Algorithms
decentralized tracking control
Disturbances
Dynamic programming
Error analysis
Fault detection
Fault tolerance
input constraints
integral sliding‐mode fault‐tolerant control
interconnected nonlinear systems
Neural networks
Nonlinear control
Nonlinear systems
Optimal control
System dynamics
Tracking control
Tracking errors
Trajectory optimization
Title Observer‐based optimal fault‐tolerant tracking control for input‐constrained interconnected nonlinear systems with mismatched disturbances
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Foca.3173
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Volume 45
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