Use of particle filters in an active control algorithm for noisy nonlinear structural dynamical systems

The problem of active control of nonlinear structural dynamical systems, in the presence of both process and measurement noises, is considered. The focus of the study is on the use of particle filters for state estimation in feedback control algorithms for nonlinear structures, when a limited number of noisy output measurements are available. The control design is done using the state-dependent Riccati equation (SDRE) method. The stochastic differential equations (SDEs) governing the dynamical systems are discretized using explicit forms of Ito–Taylor expansions. The Bayesian bootstrap filter and that based on sequential important sampling (SIS) are employed for state estimation. The simulation results show the feasibility of using particle filters and SDRE techniques in control of nonlinear structural dynamical systems

Proceedings of the 6th International Conference on Modeling and Simulation in Civil Engineering

This conference proceedings contains articles on the various research ideas of the academic community and technical researchers presented at the 6th International Conference on Modeling and Simulation in Civil Engineering (ICMSC 2022). ICMSC 2022 was organized by the Department of Civil Engineering, TKM College of Engineering, Kollam, Kerala, India on December 1-3, 2022. The main aim of this conference is to bring together leading academicians, researchers, technocrats, practitioners, and students to exchange and share their experiences and research outputs on all aspects of Civil Engineering, especially related to the modeling and simulation in Civil Engineering.  Conference Title: 6th International Conference on Modeling and Simulation in Civil EngineeringConference Acronym:  ICMSC 2022Conference Date: 1-3 December 2022Conference Location: IndiaConference Organizer: Department of Civil Engineering, TKM College of Engineering, Kollam, Kerala, Indi