Papers
2
Total Citations
68
H-Index
2
About
Dr. KPS Rana is a leading researcher in advanced control systems, with a primary focus on nonlinear, multi-input multi-output robotic manipulators. His work is centered on developing intelligent, adaptive controllers that can handle the inherent complexities of coupled robotic systems. Dr. Rana’s most significant contribution is the design of a robust fractional order fuzzy sliding mode PID controller (FOFSMCPID) for two-link planar rigid manipulators, a highly cited work with 66 citations. This innovative approach integrates fractional calculus with fuzzy logic and sliding mode control to achieve superior trajectory tracking and disturbance rejection. Beyond this, he has conducted comparative studies on optimization methods—including Cuckoo Search, Flower Pollination, and Genetic Algorithms—for tuning Self Organizing Fuzzy Controllers (SOFCs), demonstrating his commitment to optimizing control performance through metaheuristic techniques. Dr. Rana’s research is pivotal for advancing the precision and reliability of robotic systems, making his work essential reading for students and researchers in robotics, control engineering, and intelligent systems. His contributions continue to shape the development of robust, adaptive control strategies for complex dynamic environments.
Research Focus
Key Achievements
Top Papers
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