Hocine Khati

Mouloud Mammeri University of Tizi-Ouzou

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About

Hocine Khati is an emerging researcher specializing in advanced control systems, robotics, and intelligent computing architectures. His work sits at the intersection of hardware implementation and control theory, with a particular focus on deploying sophisticated control algorithms onto Field-Programmable Gate Array (FPGA) platforms for real-time robotic applications. Khati's most recognized contribution examines the implementation of backstepping control regulators on Xilinx Zedboard Zynq FPGA hardware using HDL Coder tools, applied to the well-known PUMA 560 robotic manipulator — a paper that has attracted 7 citations since its 2023 publication. Building on this foundation, his subsequent work comparatively evaluates backstepping and computed torque control strategies for industrial robots in FPGA environments, reflecting a systematic approach to benchmarking control methodologies in hardware-constrained settings. Khati has also contributed to intelligent control design through his development of a Compensatory Adaptive Neural Fuzzy Inference System, addressing longstanding limitations in traditional fuzzy controller design where expert knowledge is difficult to translate into formal rule sets. Collectively, his research advances the practical deployment of intelligent and nonlinear control systems, making sophisticated robotic control more accessible and efficient for real-world industrial implementation.