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Uncertainty quantification of dynamic response in wind turbines with a geometric nonlinear tuned mass-damper-inerter (2025)
Journal Article

This paper investigates the dynamic response of a monopile wind turbine equipped with a geometric nonlinear tuned mass-damper-inerter (NTMDI) under parametric uncertainties. Several probability distributions, including normal, uniform, and Rayleigh,... Read More about Uncertainty quantification of dynamic response in wind turbines with a geometric nonlinear tuned mass-damper-inerter.

Modelling and nonlinear analysis of frictional jointed beams with inerter-based dynamic vibration absorber (2025)
Journal Article

This study investigates the effectiveness of an inerter-based dynamic vibration absorber (IDVA) in suppressing vibrations in a nonlinearly jointed beam structure. The governing partial differential equations are derived and discretized using the fini... Read More about Modelling and nonlinear analysis of frictional jointed beams with inerter-based dynamic vibration absorber.

Prescribed performance resilient motion coordination with actor–critic reinforcement learning design for UAV-USV systems (2025)
Journal Article

In this paper, we develop a virtual vehicle scheme to solve the coordination control problem under denial-of-service (DoS) attacks for heterogeneous vehicles. This system includes an unmanned surface vessel (USV) in distress, sharing kinematic data,... Read More about Prescribed performance resilient motion coordination with actor–critic reinforcement learning design for UAV-USV systems.

Adaptive secure control for uncertain cyber–physical systems with Markov switching against both sensor and actuator attacks (2025)
Journal Article

In this article, adaptive secure controller synthesis for uncertain cyber–physical systems with Markov switching (CPSMSs), both sensor and actuator stealthy attacks as well as generally unknown transition rates (GUTRs), is under consideration via neu... Read More about Adaptive secure control for uncertain cyber–physical systems with Markov switching against both sensor and actuator attacks.

Total least squares algorithm for errors-in-variables systems: Iterative algorithm or two-step algorithm (2025)
Journal Article

The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the minimum eigenvalue of an augmented matrix. However, the TLS... Read More about Total least squares algorithm for errors-in-variables systems: Iterative algorithm or two-step algorithm.