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.

Highlights

  • Civil structures were designed by conventional codes along with Passive Vibration Control (PVC) system, that is unable to adjust structural characteristics dynamically under the environmental loads.[1,2,3,4,5,6,7] with the developing trend of high-rise buildings and long-span bridges, the need for smart structures ascends that can adapt towards their changing environment and keep up their serviceability progressively

  • A comparison is made between Adaptive Neuro-Fuzzy Inference System (ANFIS) and SAC controllers, and the results show that both proposed controllers can effectively alleviate the seismic response of the structure and enhanced their performance under seismic activities

  • The work presented in this article is the first of its kind that emphasized control algorithms than control devices

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Summary

Introduction

Civil structures were designed by conventional codes along with Passive Vibration Control (PVC) system, that is unable to adjust structural characteristics (i.e., mass, stiffness, or damping) dynamically under the environmental loads (i.e., earthquakes and strong winds).[1,2,3,4,5,6,7] with the developing trend of high-rise buildings and long-span bridges, the need for smart structures ascends that can adapt towards their changing environment and keep up their serviceability progressively. Through the escalation of Active Vibration Control (AVC) and Semi-active Vibration Control (SVC) systems since 1980, 8,9 the concept of smart structures is acknowledged 10 as an intelligent machine that can change and adapt to its environment dynamically working on a few components: sensors, actuators, signal processors, and power sources.[11,12]. The PVC system is activated by structural motion requiring no external force or energy to perform the control 12 this

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