Max Robotics — Global Service Robot Directory + US Certification

About

Vijay Mohan is a control systems researcher whose work sits at the intersection of fractional order control, fuzzy logic, and intelligent robotics. His research is primarily focused on designing advanced controllers for nonlinear and coupled dynamic systems, with particular emphasis on robotic manipulators. Mohan has made significant contributions to the development of fractional order PID (FO-PID) frameworks, pioneering hybrid architectures that integrate fuzzy logic and artificial intelligence to enhance controller robustness and adaptability. His 2018 paper introducing a two-degree-of-freedom (2DOF) fractional order fuzzy PID controller stands as his most influential work, accumulating 68 citations and establishing a benchmark for intelligent nonlinear control design. A recurring theme across his portfolio is self-tuning and self-regulatory behavior — notably through his Non-Linear Fractional Order PID (NLF-PID) design, which employs nonlinear hyperbolic error functions cascaded with fractional operators. Mohan has also applied bio-inspired optimization techniques such as Particle Swarm Optimization and Cuckoo Search algorithms to tune these complex controllers. With over 190 cumulative citations, his work continues to inform researchers developing high-performance control strategies for industrial robotics and dynamic engineering systems.