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actuator-placements
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Robust controllability assessment and optimal actuator placement in dynamic networks
, Article Systems and Control Letters ; Volume 133 , 2019 ; 01676911 (ISSN) ; Sharif University of Technology
Elsevier B.V
2019
Abstract
This paper presents a new framework for the optimal placement of actuators in uncertain dynamic networks. The objective is to select a subset of nodes from a set of potential actuator placements, such that the controllability of the network with norm-bounded perturbation is preserved over the entire uncertain region. Evaluation of robust controllability is known to be computationally intractable. The recent results of Babazadeh and Nobakhti (2016) are utilized to establish equivalent conditions for robust controllability of uncertain networks. It is shown that for a large class of dynamic systems, including undirected networks, the exact distance to uncontrollability is evaluated by solving...
Optimal control of nonlinear frames by Newmark and distributed genetic algorithms
, Article Structural Design of Tall and Special Buildings ; Volume 21, Issue 2 , 2012 , Pages 77-95 ; 15417794 (ISSN) ; Mohebbi, M ; Sharif University of Technology
Abstract
Active control of multi-storey frame structures with nonlinear hysteretic response has been studied in this paper. A new nonlinear optimal control algorithm based on nonlinear Newmark integration method and distributed genetic algorithm (DGA) has been developed. The objective has been to reduce the response to below any desired level. In this study, DGA has been used to determine the weights in the control law corresponding to displacement, velocity and acceleration. The capabilities of the method has been assessed through simulation where an eight-storey frame with bilinear hysteretic behaviour has been subjected to a white noise ground acceleration and controlled by the controllers...