Decentralized Adaptive Fuzzy Tracking Control for a Class of Nonlinear Uncertain Interconnected Systems With Multiple Faults and Denial-of-Service Attack

Jiang, Xiaoyan; Mu, Xiaomin; Hu, Zenghui

doi:10.1109/tfuzz.2020.3013700

Cited by 61 publications

(45 citation statements)

References 30 publications

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“…Furthermore, the existence of strong interconnections and unknown control directions makes the stability analysis more challenging than the existing work. The decentralized fault‐tolerant OFC is further proposed when the system states are unmeasurable by designing a new form of K ‐filters and introducing appropriate error transformations. This result extends the existing output feedback 1,3,4,37 to the fault‐tolerant output feedback of strongly interconnected nonlinear LSSs, where control directions are unknown.…”

Section: Introductionmentioning

confidence: 59%

“…Nonlinear large‐scale systems (LSSs) have drawn great public concern because they have been widely used to describe practical systems, such as robots, power systems, mass‐spring‐damper model, computer, and telecommunications networks and aerospace systems, in such diverse areas as manufacturing, transportation, power systems, and mobile robotics 1‐5 . To deal with control problems of such nonlinear LSSs, the decentralized control has become an effective LSSs control scheme due to its lower computational complexity and higher robustness to communication failure, where the design of control law only uses local available information.…”

Section: Introductionmentioning

confidence: 99%

“…Since faults may cause the instability of LSSs if they are not compensated and handled promptly, 22 the fault‐tolerant control (FTC) for nonlinear LSSs becomes a hot topic. In order to improve system reliability and security, several distributed and decentralized FTC methods have been proposed for linear multiagent systems 23,24 and weakly interconnected nonlinear LSSs, 2‐4,25,26 respectively. In detail, the decentralized adaptive FTC for nonlinear LSSs with unknown dead zones is proposed in the work of Chen and Tao 25 .…”

Section: Introductionmentioning

confidence: 99%

“…In detail, the decentralized adaptive FTC for nonlinear LSSs with unknown dead zones is proposed in the work of Chen and Tao 25 . Zhang and Yang 3 concerns the observer‐based FTC for LSSs with sensor and actuator faults, while Jiang et al 4 deals with the tracking control for nonlinear LSSs with multiple faults and denial‐of‐service attacks. Recently, state feedback FTC problems for strong interconnected nonlinear LSSs have also been studied 27,28 .…”

Section: Introductionmentioning

confidence: 99%

“…Two different decentralized adaptive fault‐tolerant controllers, namely, state feedback controller (SFC) and output feedback controller (OFC), are designed respectively for the decentralized adaptive tracking problem of nonlinear LSSs. Our contributions are as follows: Different from the recent decentralized FTC results that only handle weak interconnections, 2‐4,25,26,37 the proposed decentralized FTC program can deal with strong interconnections between neighboring subsystems, and avoid the computational complexity using the DSC design. Although the decentralized adaptive fault‐tolerant state feedback control results 27,28 for strong interconnected nonlinear LSSs have been developed, they require the control directions of subsystems and the bounds of actuator efficiency factor to be known. To deal with this restriction, a fault‐tolerant SFC using special Nussbaum gain 36 is introduced to guarantee the boundedness of the closed‐loop system signals.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions

Wang

Sun

2021

Intl J Robust & Nonlinear

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This article investigates decentralized adaptive tracking problems for nonlinear large‐scale systems with strong interconnections, unknown control directions and actuator faults. In the presence of measurable system states, a decentralized state feedback control algorithm with a certain inherent fault tolerance capabilities is developed using the dynamic surface control and adaptive techniques. Particularly, a special Nussbaum gain is introduced in the control laws to compensate unknown control directions and unknown bounds of actuator efficiency factor. Using the graph theory and Lyapunov analysis method, it is proved that the designed fault‐tolerant state feedback controller can drive the tracking error for each subsystem to a small neighborhood of the origin while keeping the semiglobal uniform ultimate boundedness for all other closed‐loop signals. When the system states are unmeasurable, an output feedback fault‐tolerant control framework is also formed by introducing a new K‐filters with adjustable parameters and constructing appropriate coordinate transformations. Finally, the effectiveness of the proposed fault‐tolerant control algorithms is verified by simulating two system models.

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Section: Introductionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions

Wang

Sun

2021

Intl J Robust & Nonlinear

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NN‐based decentralized adaptive event‐triggered control for nonlinear interconnected systems under intermittent DoS and injection attacks

Cui

Sun

Hou

2022

Adaptive Control & Signal

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Summary This article investigates the problem of decentralized adaptive neural network event‐triggered control of strict feedback nonlinear interconnected systems suffering injection attacks and intermittent denial‐of‐service (DoS) attacks. When DoS attacks occur, the sensor‐controller communication channel is jammed. This may result in system states and traditional backstepping methods are unavailable. A novel switching‐type state observer is constructed to overcome the aforementioned challenges. When the injection attacks occur, the input signals of the controller‐actuator communication channel are changed. A decentralized adaptive event‐triggered controller is designed by using the backstepping method, where a first‐order sliding mode differentiator is introduced to avoid “computational explosion.” The observer gain is derived via the linear matrix inequality technique simultaneously. By using an improved average dwell time method and Lyapunov function theory, all closed‐loop signals are bounded. Finally, a numerical example is used to verify the effectiveness of the proposed control scheme.

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Practical tracking control of a class of uncertain nonlinear systems and unknown output function

Dorgham

Hammami

2023

Adaptive Control & Signal

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SummaryThis paper investigates the problem of global practical tracking control via dynamic output‐feedback for a family of uncertain nonlinear systems with unknown output function. The nonlinear terms of the system under consideration are assumed to be bounded by an unknown parameter multiplied by a function of unmeasured states. Furthermore, contrary to the previous works, the system output is presented with a multiplicative unknown measurement noise. Based on a high‐gain observer to reconstruct the unmeasured system states and handle the unknown output function, an adaptive output feedback controller is designed to guarantee the reference trajectory tracking. The boundedness of all the closed‐loop signals is verified by Lyapunov analysis and the tracking errors are proved to be sufficiently small prescribed after a finite time. A practical example is given to illustrate the effectiveness of the proposed design scheme.

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Decentralized Adaptive Fuzzy Tracking Control for a Class of Nonlinear Uncertain Interconnected Systems With Multiple Faults and Denial-of-Service Attack

Cited by 61 publications

References 30 publications

Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions

Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions

NN‐based decentralized adaptive event‐triggered control for nonlinear interconnected systems under intermittent DoS and injection attacks

Practical tracking control of a class of uncertain nonlinear systems and unknown output function

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