Papers
4
Total Citations
57
H-Index
3
About
Mohammad Veysi is a leading researcher in advanced robotics control, specializing in the design of intelligent, robust controllers for complex robotic systems. His work primarily focuses on sliding mode control, fuzzy logic systems, and optimization algorithms to address critical challenges in robot manipulator control, particularly in the presence of uncertainties, chaos, and external disturbances. Veysi’s most influential contribution is his novel self-adaptive modified bat fuzzy sliding mode controller for robot manipulators in task space, which has garnered 39 citations and set a benchmark for adaptive control strategies. He has further advanced the field by developing voltage-based adaptive fuzzy sliding mode control and a groundbreaking fuzzy decoupled sliding mode control for flexible joint manipulators, incorporating finite-time observers to handle chaotic dynamics—a work validated experimentally and cited 8 times. His recent finite-time robust state feedback control for flexible joint robots, addressing both matched and mismatched uncertainties with experimental validation, underscores his commitment to practical, high-performance solutions. With a cumulative impact of over 57 citations, Veysi’s research is pivotal for students and engineers seeking robust, adaptive control methods for next-generation robotic systems.
Research Focus
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