Control–structure interaction (CSI) plays a significant role in active control systems. Popular
methods incorporate actuator dynamics into an integrated control system to account for CSI …

To maintain structural integrity and functionality during the designed life cycle of a structure,
engineers are expected to accommodate for natural hazards as well as operational load …

Existing methods account for control-structure-interaction (CSI) in structural control design.
However, their implementations may be challenging since the dynamic characteristics of …

An efficient active structural control scheme by utilizing the collective concepts of data-driven
and physics-inspired reinforcement learning (RL) approaches is being introduced here. The …

Deep reinforcement learning (DRL) has emerged as a promising approach for optimizing
control policies in various fields. In this article, we explore the use of DRL for controlling …

Vibration and displacement control are of critical importance for both high-rise and ultra high-
rise building systems. A single-floor building-like structure equipped with an active mass …

This paper presents a novel data-driven approach for active structural control through the
use of deep reinforcement learning, wherein, the control system learns to react in an optimal …

In recent years, optimal control which minimizes a cost function formulated by weighted
states and control inputs has been applied to the seismic control of structures. Optimal …

Structures are continuously exposed to external forcing, which can have dramatic variation
both in loading magnitude and frequency content. A structure must implement control …

Active mass dampers (AMDs) have been used to suppress vibration of structures subjected
to dynamic loading. Generally, controller design of AMD requires an identified numerical …