Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation

Cao, Liang; Li, Hongyi; Dong, Guowei; Lu, Renquan

doi:10.1109/tsmc.2019.2938216

Cited by 268 publications

(113 citation statements)

References 58 publications

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“…In the following theorem, the conditions are derived to guarantee the stochastic asymptotic stability for the closed-loop T-S fuzzy MJSs (10). (1) with asynchronous adaptive sliding mode controller (5) and (6), if there exist positive matrices P k ∈ R 2n×2n , nonsingular matrix M ik ∈ R o×o , and matrices X ik ∈ R l×2n , N ik ∈ R l×o , and W ik ∈ R l×{n+m} such that for each k ∈  and ∈  , the following conditions hold,…”

Section: Resultsmentioning

confidence: 99%

“…In the following theorem, we will give a solution to parameters A cij , B ci , C ci , D c , X ik , W ik , N ik , and M ik . (1) with controller (5) and (6), if there exist symmetric positive matrices X k ∈ R n×n and Y k ∈ R n×n and matrices L i ∈ R l×n , H i ∈ R n×m , W ik = [W 1ik , W 2ik ], N ik , and M ik and a positive scalar such that the following conditions hold min subject to (23) to (27)…”

Section: Theorem 1 Considering the T-s Fuzzy Mjssmentioning

confidence: 99%

“…With the increasing of complexity of control systems, the safety and reliability of systems are more and more important. However, when actuators and/or sensors faults occur, under the traditional control schemes, system performance will degrade and even the stability of system cannot be ensured . Therefore, it is required that the developed control strategies have ability to deal with emergency situations resulting from actuators and/or sensors faults .…”

Section: Introductionmentioning

confidence: 99%

“…However, when actuators and/or sensors faults occur, under the traditional control schemes, system performance will degrade and even the stability of system cannot be ensured. [1][2][3][4][5] Therefore, it is required that the developed control strategies have ability to deal with emergency situations resulting from actuators and/or sensors faults. [6][7][8][9] It is well known that fault tolerant control (FTC) is an effective approach to improve the reliability of control systems and maintain an desired performance/stability of systems.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

Liu

Zhang

et al. 2019

Adaptive Control & Signal

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Summary In this article, the problem of asynchronous adaptive dynamic output feedback sliding mode control (SMC) for a class of Takagi‐Sugeno (T‐S) fuzzy Markovian jump systems (MJSs) with actuator faults is investigated. The asynchronous dynamic output feedback control strategy is employed, as the nonsynchronization phenomenon of jump modes exists between the plant and the controller. A novel asynchronous adaptive SMC approach is proposed to solve the synthesis problem for T‐S fuzzy MJSs with actuator faults. Sufficient conditions for stochastic asymptotic stability of T‐S fuzzy MJSs are given. Under the designed asynchronous adaptive SMC scheme, the effects of actuator faults and external disturbance can be completely compensated and the reachability of sliding surface is ensured. Finally, an example is provided to demonstrate the effectiveness of the proposed design techniques.

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Section: Resultsmentioning

confidence: 99%

Section: Theorem 1 Considering the T-s Fuzzy Mjssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

Liu

Zhang

et al. 2019

Adaptive Control & Signal

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“…▪ Remark 6. To calculate the condition (48) in Matlab LMI toolbox, one can substitute with following inequality…”

Section: Event-triggered Finite-time Controller Designmentioning

confidence: 99%

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Gao

Deng

et al. 2019

Intl J Robust & Nonlinear

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Summary This article investigates the event‐triggered finite‐time reliable control problem for a class of Markovian jump systems with time‐varying transition probabilities, time‐varying actuator faults, and time‐varying delays. First, a Luenberger observer is constructed to estimate the unmeasured system state. Second, by applying an event‐triggered strategy from observer to controller, the frequency of transmission is reduced. Third, based on linear matrix inequality technique and stochastic finite‐time analysis, event‐triggered observer‐based controllers are designed and sufficient conditions are given, which ensure the finite‐time boundedness of the closed‐loop system in an H∞ sense. Finally, an example is utilized to show the effectiveness of the proposed controller design approach.

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Adaptive fuzzy finite‐time fault‐tolerant control of nonlinear systems with state constraints and input quantization

Pan

Yang

et al. 2020

Adaptive Control & Signal

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Summary This article concentrates on an adaptive finite‐time fault‐tolerant fuzzy tracking control problem for nonstrict feedback nonlinear systems with input quantization and full‐state constraints. By utilizing the fuzzy logic systems and less adjustable parameters method, the unknown nonlinear functions are addressed in each step process. In addition, a dynamic surface control technique combined with fuzzy control is introduced to tackle the variable separation problem. The problem for the effect of quantization and unlimited number of actuator faults is tackled by a damping term with smooth function in the intermediate control law. Finite‐time stability is achieved by combining barrier Lyapunov functions and backstepping method. The finite‐time controller is designed such that all the responses of the systems are semiglobal practical finite‐time stable and ensured to remain in the predefined compact sets while tracking error converges to a small neighborhood of the origin in finite time. Finally, simulation examples are utilized to testify the validity of the investigated strategy.

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Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation

Cited by 268 publications

References 58 publications

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Adaptive fuzzy finite‐time fault‐tolerant control of nonlinear systems with state constraints and input quantization

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