Siddharth Singh Chouhan
Papers
2
Total Citations
44
H-Index
2
About
Dr. Siddharth Singh Chouhan is a leading researcher in advanced control systems, specializing in adaptive fault-tolerant control and intelligent neuro-fuzzy networks for complex nonlinear and stochastic systems. His most impactful work, "Adaptive Fault-Tolerant Control for Pure-Feedback Stochastic Nonlinear Systems with Sensor and Actuator Faults" (2023), has garnered 40 citations, establishing a robust framework for maintaining system stability and performance under simultaneous sensor and actuator failures—a critical challenge in safety-critical applications. Dr. Chouhan further advances the field by integrating interval type-2 neuro-fuzzy wavelet networks with Jordan feedback structures, as demonstrated in his work on controlling aerial robotic vehicles under external disturbances (2023). This innovative approach enhances the resilience and precision of autonomous drones and robots in unpredictable environments. His contributions are pivotal for the next generation of resilient autonomous systems, bridging theoretical control theory with practical robotic applications. Dr. Chouhan’s research is widely recognized for its potential to improve the reliability of unmanned aerial vehicles and industrial automation, marking him as a rising authority in intelligent fault-tolerant control.
Research Focus
Key Achievements
Top Papers
- 1
- 2