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Smart Structures and Systems Volume 34, Number 3, September 2024 , pages 171-179 DOI: https://doi.org/10.12989/sss.2024.34.3.171 |
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RC model control subjected to earthquakes using piecewise Lyapunov criterion in ambient intelligence |
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ZY Chen, Ruei-Yuan Wang, Yahui Meng and Timothy Chen
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| Abstract | ||
| This paper proposes a composite form of fuzzy modal control plan based on a piecewise Lyapunov criterion in ambient intelligence (AI). In some cases, these goals are of equal importance and cannot be easily prioritized. Environmental intelligence systems are being developed to handle multi-objective problems related to daily activities. This paper proposes a context-aware structure to provide strategies in an AI control system. Based on context data from sensors distributed throughout the environment, the modelled system recognizes the individual state, makes supporting decisions with no designation for control targets, and executes operations that is based on the environment feedbacks. To validate the developed model, an example using the system to deal with a practical engineering structural stability of analysis and control is described. The objectives of this paper are access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable planning and management of human settlement. Therefore, the goal is believed to be achieved in the near future through the continuous development of AI and control theory for a better life from the environment and built systems. | ||
| Key Words | ||
| adaptive system; AI; ambient intelligence; fuzzy model and NN; Lyapunov energy function; sustainable and disaster-resilient | ||
| Address | ||
| (1) ZY Chen, Ruei-Yuan Wang, Yahui Meng: School of Science, Guangdong University of Petrochemical Technology, Maoming 525000, Peoples R. China; (2) Timothy Chen: Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA. | ||