Abstract: This paper investigates the neural network-based event-triggered attack-compensation control problem of T-S fuzzy systems in the presence of actuator attacks. In order to enhance the ...
Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...
Abstract: The growing integration of renewable energy sources (RESs) has led to a significant reduction in power system inertia, posing challenges for grid stability. Unlike traditional power systems, ...
Encouraging students to “look out for each other on purpose” has a powerful impact. These classroom and schoolwide strategies ...
During chemical reactions, atoms in the reacting substances break their bonds and re-arrange, forming different chemical ...
Abstract: This letter investigates the stability analysis of discrete-time Takagi-Sugeno fuzzy systems by incorporating the dynamics of membership functions (MFs) into an augmented state vector. Using ...
Abstract: The rise of inverters integrated into power systems has raised enormous concerns about potential system instability. This paper aims to investigate the correlation between phase-angle and ...
Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...
Abstract: In this paper, the anti-disturbance bumpless transfer control problem is addressed for switched fuzzy systems without stable subsystems under event-triggering. First, we establish an ...
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