Houman Zarrabi

Papers

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About

Houman Zarrabi’s research spans distributed optimization, multi-agent systems, and adaptive robotics control, with a focus on dynamic and uncertain environments. His most cited work, “Discretized Distributed Optimization Over Dynamic Digraphs” (2024, 30 citations), introduces a discrete-time model for continuous-time optimization over switching directed networks, enabling distributed learning in mobile multi-agent systems—a foundational contribution to scalable, real-time coordination. Earlier, in “On The Design of The Robust Neuro-Adaptive Controller for Cable-driven Parallel Robots” (2016, 15 citations), Zarrabi developed a neural-network-based robust controller using radial basis function estimators, significantly improving stability and precision in cable-driven robotic platforms under dynamic loads. His work bridges theoretical rigor and practical deployment, addressing key challenges in networked control and robotic manipulation. With a citation trajectory that underscores growing influence, Zarrabi’s contributions are shaping advances in distributed intelligence and adaptive automation, making his research essential reading for those working at the intersection of optimization, control theory, and multi-agent robotics.