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The problem of L-gain analysis and anti-windup (AW) fault-tolerant controller design of a class of time-varying delay discrete-time switched systems with actuator saturation and external disturbances is investigated by using the multiple Lyapunov functionals method. Firstly, for each subsystem, we construct an AW fault-tolerant controller consisting of a dynamic state feedback (DSF) controller and an AW compensator, such that the closed-loop system with actuator faults can meet the disturbance attenuation performance index and ensure that the state trajectories of the closed-loop system are bounded under the action of external disturbances. Then, the problem of estimating the allowable interference capacity is transformed into a constrained optimization problem. Next, a sufficient condition on the existence of the restricted L-gain is established, and the minimum upper bound of the restricted L-gain is obtained by solving the constrained optimization problem. Finally, the DSF controller gain and AW compensator gain of the AW fault-tolerant controller are obtained by solving the above two optimization problems which have been further handled. A numerical example is given to show the effectiveness and feasibility of the proposed method.
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http://dx.doi.org/10.1038/s41598-025-07143-x | DOI Listing |
IEEE Trans Cybern
September 2025
FTC, due to its characteristic of fault prevention and mitigation, is an increasingly popular topic in wastewater treatment process (WWTP) for safety purpose. However, the presence of uncertainties and external disturbances inevitably leads to unknown faults in WWTP, making it challenging for fault-tolerant control (FTC) strategies using existing fault data to ensure continuous safe and stable operation. To address this issue, a knowledge compensation-based active fault-tolerant control (KC-AFTC) is designed in this article.
View Article and Find Full Text PDFNat Commun
August 2025
Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui, China.
Achieving high-fidelity and robust qubit manipulations is a crucial requirement for realizing fault-tolerant quantum computation. Here, we demonstrate a single-hole spin qubit in a germanium quantum dot and characterize its control fidelity using gate set tomography. The maximum control fidelities reach 97.
View Article and Find Full Text PDFSci Rep
August 2025
Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, 73213, Saudi Arabia.
In this work, we find the fault-tolerant metric dimension of a hexagonal nanosheet. This concept ensures robust identity of vertices inside a graph, even in situations in which a few resolving vertices fail. By extending the applicability of this parameter to city systems, we explore its practical use in optimizing emergency reaction and carrier management in cities.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
The Laboratory of Cognitive and Decision Intelligence for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Fault-tolerant control for bionic robotic fish presents significant challenges due to the complex dynamics and asymmetric propulsion introduced by joint failures. To address this issue, this paper proposes a fault-tolerant following control framework for multi-joint bionic robotic fish by combining fuzzy control methodologies and dynamic model correction. Firstly, offline fault analysis is conducted based on the dynamic model under multi-variable parameter conditions, quantitatively deriving influence factor functions that characterize the effects of different joint faults on velocity and yaw performance of the robotic fish.
View Article and Find Full Text PDFISA Trans
August 2025
Department of Electrical Engineering, University of Zanjan, Zanjan 45195-313, Iran. Electronic address:
This paper proposes an Adaptive Barrier Nonsingular Fixed-Time Sliding Mode Control (ABNFTSMC) scheme for quadrotor Unmanned Aerial Vehicles (UAVs). The method explicitly addresses actuator faults, input saturation, and external disturbances. A Fault Detection and Isolation (FDI) unit identifies failed rotors to maintain stability, while a Virtual Controller (VC) is used to handle instability introduced by actuator failure using inputs from functioning actuators.
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