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Fuzzy neural network controller of interconnected method for civil structures

Chen, Z. Y. and Meng, Yahui and Wang, Ruei-Yuan and Chen, Timothy (2022) Fuzzy neural network controller of interconnected method for civil structures. Advances in Concrete Construction, 13 (5). pp. 385-394. ISSN 2287-5301. doi:10.12989/acc.2022.13.5.385.

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Recently, an increasing number of cutting-edged studies have shown that designing a smart active control for real-time implementation requires piles of hard-work criteria in the design process, including performance controllers to reduce the tracking errors and tolerance to external interference and measure system disturbed perturbations. This article proposes an effective artificial-intelligence method using these rigorous criteria, which can be translated into general control plants for the management of civil engineering installations. To facilitate the calculation, an efficient solution process based on linear matrix (LMI) inequality has been introduced to verify the relevance of the proposed method, and extensive simulators have been carried out for the numerical constructive model in the seismic stimulation of the active rigidity. Additionally, a fuzzy model of the neural network based system (NN) is developed using an interconnected method for LDI (linear differential) representation determined for arbitrary dynamics. This expression is constructed with a nonlinear sector which converts the nonlinear model into a multiple linear deformation of the linear model and a new state sufficient to guarantee the asymptomatic stability of the Lyapunov function of the linear matrix inequality. In the control design, we incorporated H Infinity optimized development algorithm and performance analysis stability. Finally, there is a numerical practical example with simulations to show the results. The implication results in the RMS response with as well as without tuned mass damper (TMD) of the benchmark building under the external excitation, the El-Centro Earthquake, in which it also showed the simulation using evolved bat algorithmic LMI fuzzy controllers in term of RMS in acceleration and displacement of the building.

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Additional Information:The authors are grateful for the research grants given to Ruei-Yuan Wang from GDUPT talent introduction, Peoples R China under Grant No. 702-519208, the Projects of Talents Recruitment of GDUPT (NO. 2019rc098), and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China, RY Wang from the Projects of Talents Recruitment of GDUPT (NO. 2019rc098), and Guangdong Provincial Key Lab. of Petrochemical Equipment and Fault Diagnosis, School of Science, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China as well as to the anonymous reviewers for constructive suggestions.
Funding AgencyGrant Number
Guangdong University of Petrochem Technology702-519208
Guangdong University of Petrochem Technology2019rc098
Guangdong University of Petrochem Technology2021rc002
Guangdong University of Petrochem Technology2019rc098
Issue or Number:5
Record Number:CaltechAUTHORS:20220919-174908616
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117037
Deposited By: Tony Diaz
Deposited On:22 Sep 2022 19:57
Last Modified:22 Sep 2022 19:57

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