Research developments in adaptive intelligent vibration control of smart civil structures

Abstract

Control algorithms are the most critical aspects in the successful control of civil structures subjected to earthquake and wind forces. In recent years, adaptive intelligent control algorithms are emerging as an acceptable substitute method to conventional model-based control algorithms. These algorithms mainly work on the principles of artificial intelligence (AI) and soft computing (SC) methods that make them highly efficient in controlling highly nonlinear, time-varying, and time-delayed complex civil structures. The current research probes to control algorithms, that this article set forth an inclusive state-of-the-art review of adaptive intelligent control (AIC) algorithms for vibration control of smart civil structures. First, a general introduction to adaptive intelligent control is presented along with its advantages over conventional control algorithms. Second, their classification concerning artificial intelligence and soft computing methods is provided that mainly consists of artificial neural network-based controller, brain emotional learning-based intelligent controller, replicator dynamics-based controller, multi-agent system-based controller, support vector machine-based controller, fuzzy logic control, adaptive neuro-fuzzy inference system-based controller, adaptive filters-base controller, and meta-heuristic algorithms-based hybrid controllers. Third, a brief review of these algorithms with their developments on the theory and applications is provided. Fourth, we demonstrate a summarized overview of the cited literature with a brief trend analysis is presented. Finally, this study presents an overview of these innovative AIC methods that can demonstrate future directions. The contribution of this article is the anticipation of detailed and in-depth discussion into the perspective of AI and SC-based AIC method advances that enabled practical applications in attenuating vibration response of smart civil structures. Moreover, the review demonstrates the computing advantages of AIC over conventional controllers that are important in creating the next generation of smart civil structures.

Intelligent Control Methodology for Smart Highway Bridge Structures Using Optimal Replicator Dynamic Controller

“…For example, people who are physically fit will have a larger population in the next generation. Taylor & Jonker [16] proposed the concept of "Replicator Dynamics (RD)" to study ESS. Replicator dynamics is a concept from evolutionary game theory.…”

“…Smart systems are developed by using sensors, actuators, signal processors, and power sources. All in all, active and semi-active control systems are intelligently controlled systems that use actuators to gradually adjust stiffness and damping [16].…”

“…Additionally, the structure's dynamic properties may alter over time, necessitating particular considerations for ongoing model updates. Since civil structures are complex and simulating the actual behavior of the structure is challenging, there is a need for model-free, data-driven adaptive controllers that make their control decisions based on measured data, such as those derived from artificial intelligence and game theory [4,16].…”

Suppressing vibration of structures using nonlinear single unit impact dampers via Taguchi method

“…1 Many concepts of control engineering in structures have been considered. 2 Generally, structural vibration control systems can be divided into four main categories: passive control, active control, semi-active control, and compound control. 3,4 Passive controllers emit vibrational energy into the building system.…”

Global Simultaneous Optimization of Oil, Hysteretic and Inertial Dampers Using Real-Valued Genetic Algorithm and Local Search

“…Varieties of passive dampers have been developed worldwide and respective dampers have been used in view of their advantageous features and costs. The historical sketch can be found in some monographs (Soong and Dargush 1997;Srinivasan and McFarland 2000;Hanson and Soong 2001;Christopoulos and Filiatrault 2006;Takewaki 2009) and review articles (Uetani et al, 2003;Palermo et al, 2017;Wang and Mahin 2018;De Domenico et al, 2019;Saeed et al, 2021;Takewaki and Akehashi 2021). Recent developments can be found in some papers (Cunico and Cavalheiro, 2019;Chitra and Rugmini, 2020;Elias et al, 2021;Saeed et al, 2021;Narayan and Pathak 2022).…”