Papers
8
Total Citations
202
H-Index
6
About
Asha Rani is a distinguished researcher specializing in advanced control systems, fractional order controllers, fuzzy logic, and robotics, with a particular focus on developing intelligent control strategies for nonlinear and dynamic systems. Her work has made significant contributions to the design of sophisticated controllers that combine fractional order calculus with fuzzy logic to achieve superior performance in complex, real-world systems. Among her most influential contributions is her development of the Two-Degree-of-Freedom (2DOF) Fractional Order Fuzzy PID controller, which has garnered 68 citations, establishing her as a leading voice in intelligent control design. Her innovative Nonlinear Fractional Order PID (NLF-PID) controller, incorporating hyperbolic error functions for robotic manipulator control, further demonstrates her creative approach to solving challenging control problems. Her research on multi-objective optimization techniques, including Particle Swarm Optimization and Cuckoo Search algorithms for tuning fractional order controllers, has also drawn considerable scholarly attention. More recently, Rani has extended her expertise into mobile robotics, addressing autonomous navigation and path planning for unmanned ground vehicles. With a cumulative citation count exceeding 200 across her published works, her research continues to shape developments in intelligent control engineering, offering practical solutions for next-generation robotic and dynamic systems.
Research Focus
Key Achievements
Top Papers
- 1An expert 2DOF fractional order fuzzy PID controller for nonlinear systems68 citations · 2018
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