Jyoti Ohri

About

Jyoti Ohri is a prominent researcher specializing in intelligent control systems, robotic manipulator control, and optimization-based controller design. Her work sits at the intersection of classical control theory and advanced computational intelligence, with a particular focus on developing robust, high-performance controllers for complex nonlinear systems. Ohri's most significant contributions center on Sliding Mode Control (SMC) and its intelligent variants. Her 2013 paper introducing a Fuzzy Sliding Mode Controller with global stabilization and a novel exponential dynamic sliding function incorporating PID earned 18 citations, establishing her as an authority in hybrid control architectures. She has systematically addressed longstanding challenges in robotic control, including chattering reduction, friction compensation, and trajectory tracking accuracy under nonlinear dynamics. A recurring theme in her research is the integration of optimization techniques — particularly Particle Swarm Optimization (PSO) — to auto-tune controller parameters, eliminating tedious trial-and-error approaches. Her work on PSO-tuned PID and SMC controllers, evolutionary optimized neural networks, and fuzzified PSO-SVM controllers reflects a consistent drive toward intelligent, adaptive control frameworks. Her 2020 experimental validation of PSO-optimized LQR control for flexible link manipulators further demonstrates her commitment to real-world applicability. With over 90 cumulative citations across her top publications, Ohri's research offers valuable insights for engineers and students working at the forefront of intelligent robotics and control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy Sliding Mode Controller (FSMC) with Global Stabilization and Saturation Function for Tracking Control of a Robotic Manipulator

   18 citations · 2013
2. 2
   Sliding Mode Control (SMC) of Robot Manipulator via Intelligent Controllers

   16 citations · 2016
3. 3
   Improved PSO tuned Classical Controllers (PID and SMC) for Robotic Manipulator

   15 citations · 2015
4. 4
   FUZZY ADAPTIVE DYNAMIC FRICTION COMPENSATOR FOR ROBOT

   14 citations · 2008
5. 5
   Integrating A Few Actions For Chattering Reduction And Error Convergence In Sliding Mode Controller In Robotic Manipulator

   11 citations · 2013
6. 6
   Comparison of conventional & fuzzy based sliding mode PID controller for robot manipulator

   10 citations · 2013
7. 7
   Comparison of Robustness of PID Control and Sliding Mode Control of Robotic Manipulator

   9 citations · 2011
8. 8
   Novel m-PSO Optimized LQR Control Design for Flexible Link Manipulator: An Experimental Validation

   7 citations · 2020
9. 9
   Evolutionary Optimized Neural Network (EONN) Based Motion Control of Manipulator

   5 citations · 2014
10. 10
    Fuzzified PSO-SVM controller for motion control of robotic manipulator

    3 citations · 2016

Key Collaborators

Contact & Links