Tofigh Allahviranloo

Istinye University, Bahçeşehir University

Papers

Total Citations

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About

Tofigh Allahviranloo is a researcher whose work bridges classical control theory and modern artificial intelligence, with a particular focus on the stabilization and modeling of complex, underactuated mechanical systems. His major contributions include the development and comparative analysis of both classical and intelligent methods for controlling a dual-axis reaction wheel pendulum (DA-RWP)—a notoriously challenging open-loop unstable system. By employing Lagrangian energy-based methods to extract nonlinear and linear models, he has advanced the practical stabilization of such systems, a key problem in robotics and aerospace engineering. His work in this area has garnered significant attention, with his 2022 study on the DA-RWP accumulating 6 citations, reflecting its impact on the field. Beyond control systems, Allahviranloo has explored the broader applications of artificial intelligence, notably in autonomous vehicles. His 2020 chapter on AI and autonomous cars, which has earned 4 citations, provides a comprehensive overview of AI subfields like natural language processing and robot classification, demonstrating his versatility in connecting foundational theory to cutting-edge technology. His research is essential reading for students and engineers interested in the intersection of nonlinear dynamics, intelligent control, and autonomous systems.