Husna Zainol Abidin
Papers
1
Total Citations
57
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1
About
Dr. Husna Zainol Abidin is a leading researcher in nonlinear system identification and intelligent optimization, with a particular focus on modeling complex dynamical systems. Her most cited work, "Binary Particle Swarm Optimization Structure Selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) Model of a Flexible Robot Arm" (2016, 57 citations), introduces a groundbreaking approach that simultaneously performs structure selection and parameter estimation using binary particle swarm optimization. This innovation significantly enhances the efficiency and accuracy of NARMAX modeling, a powerful unified representation for nonlinear systems. Her contributions have been instrumental in advancing the modeling of flexible robot arms, addressing critical challenges in robotics and control engineering. Dr. Abidin's work demonstrates the effective fusion of swarm intelligence with nonlinear system identification, offering practical solutions for real-world engineering problems. With her research bridging theoretical optimization and applied robotics, she has established herself as a key figure in the development of intelligent modeling techniques, inspiring further exploration in adaptive control and system dynamics.
Research Focus
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Top Papers
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