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About

Amir H.D. Markazi is a leading researcher in advanced robotics and nonlinear control systems, with a focus on adaptive fuzzy control, sliding mode techniques, and parallel distributed compensation. His major contributions include developing the Extended Adaptive Fuzzy Sliding Mode Controller (E-AFSMC) for complex robotic systems, such as the Stewart manipulator and hexapod robots, enabling precise hybrid position/force control under state-dependent uncertainties. His work on adaptive fuzzy sliding mode observers for MIMO nonlinear systems has been widely cited (49 citations), demonstrating its impact on robust estimation. Markazi also pioneered performance-oriented parallel distributed compensation (32 citations), enhancing stability in fuzzy control architectures. Notable achievements include his model-based fuzzy control of flexible joint manipulators using Takagi-Sugeno modeling and LMI analysis, which advanced flexible robotics. His recent kinematic and dynamic analysis of nonholonomic wheel-legged robots using Gibbs–Appell formulation (2024) reflects ongoing innovation in locomotion systems. With over 170 cumulative citations, Markazi’s research bridges theoretical control advances and practical robotic applications, making him a key figure in adaptive and fuzzy control for nonlinear, uncertain systems.