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About

Vijander Singh is a control systems researcher whose work sits at the intersection of fractional order control, fuzzy logic, and intelligent optimization, with a particular focus on nonlinear and robotic systems. His research has made significant strides in advancing the design of sophisticated controllers capable of handling the complexities of real-world dynamic systems, most notably robotic manipulators. Singh's most impactful contribution is his development of expert fractional order fuzzy PID controllers, including the widely recognized 2DOF fractional order fuzzy PID framework (2018, 68 citations), which demonstrated enhanced performance for nonlinear systems. His subsequent work on robust nonlinear fractional order fuzzy controllers applied to robotic manipulators (2019, 48 citations) further cemented his standing in the field. A particularly elegant innovation is his NLF-PID controller, which incorporates nonlinear hyperbolic error functions cascaded with fractional order PID structures for coupled robotic systems. Beyond controller design, Singh has explored bio-inspired optimization techniques — including Particle Swarm Optimization, Cuckoo Search, and multi-objective PSO — for tuning these advanced controllers, reflecting a commitment to practical, deployable solutions. His cumulative citation count of over 200 underscores a growing influence on both academic research and applied robotics control engineering.