| Neural Network based Vibration Control for Vehicle Active Suspension System PL R. Kalaivani, K. Sudhagar Indian Journal of Science and Technology 9 (1), 1-8, 2016 | 38 | 2016 |
| Biogeography-Based Optimization Of PID Tuning Parameters For The Vibration Control Of Active Suspension System K Rajagopal, L Ponnusamy Journal of Control Engineering and Applied Informatics 16 (1), 31-39, 2014 | 28 | 2014 |
| Vibration Control of Vehicle Active Suspension System Using Novel Fuzzy Logic Controller LPSK Kalaivani R International Journal of Enterprise Network Management (IJENM) 6 (2), 139-152, 2014 | 17 | 2014 |
| An improved type-2 fuzzy logic approach based sliding mode controller for vehicle active suspension system KR R. Kalaivani, P. Lakshmi Advances in Vibration Engineering renamed as Journal of Advances in …, 2015 | 15* | 2015 |
| Hybrid (DEBBO) Fuzzy Logic Controller for quarter car model: DEBBOFLC for Quarter Car model R Kalaivani, P Lakshmi, K Sudhagar Control (CONTROL), 2014 UKACC International Conference on, 301-306, 2014 | 13 | 2014 |
| Hybrid (DEBBO) Fuzzy Logic Controller for Quarter Car Model SK Kalaivani R, Lakshmi P 2014 UKACC International Conference on Control, 301-306, 2014 | 13* | 2014 |
| MULTI OBJECTIVE OPTIMIZATION OF VEHICLE ACTIVE SUSPENSION SYSTEM USING DEBBO BASED PID CONTROLLER K Rajagopal, L Ponnusamy International Journal of Engineering and Technology 6 (1), 252-262, 2014 | 10 | 2014 |
| Adaptive Neuro-Fuzzy Controller for Vehicle Suspension System LP Kalaivani Rajagopal Fifth International Conference on Advanced Computing (ICoAC2013), 236-240, 2013 | 9 | 2013 |
| Adaptive back stepping controller for an vehicle active suspension system LP Kalaivani R Proceedings of IET Chennai 4th International Conference on Sustainable …, 2013 | 6 | 2013 |
| Hybrid DEBBO Algorithm for Tuning the Parameters of PID Controller Applied to Vehicle Active Suspension System K Rajagopal, L Ponnusamy Jordan Journal of Mechanical and Industrial Engineering (JJMIE) 9 (2), 85-102, 2015 | 5 | 2015 |
| Design and Implementation of Adaptive Neuro Fuzzy Inference System for an experimental active suspension system KR Hari V. M., Lakshmi P. The International Conference on Robotics, Automation, Control and Embedded …, 2015 | 3 | 2015 |
| FLC-Based Adaptive Neuro-Fuzzy Inference System for Enhancing the Traveling Comfort KK Sneha, L Ponnusamy, R Kalaivani Artificial Intelligence and Evolutionary Algorithms in Engineering Systems …, 2015 | 2 | 2015 |
| Real Time vibration control of Active suspension system with Active force Control using Iterative learning Algorithm LR Kalaivani International Journal of Advanced Computer Research (IJACR) 3 (3), 129-134, 2013 | 2* | 2013 |
| Enhancement of travelling comfort using PID based adaptive neuro fuzzy inference system for half car model SKK Kalaivani R , Lakshmi P Proceedings of IET Chennai 4th International Conference on Sustainable …, 2013 | 2* | 2013 |
| Time domain Analysis of Servo and Regulatory responses of various controllers KR Hari V. M., Lakshmi P. Sixth International Conference on Advanced Computing (ICoAC 2014), 130 - 134, 2014 | 1 | 2014 |
| FLC based adaptive neuro fuzzy inference system for enhancing the travelling comfort KR Sneha K. K., Lakshmi P. Artificial Intelligence and Evolutionary Algorithm in Engineering Systems …, 2015 | | 2015 |
| Improved Modeling of Quarter Car System Using Box-Jerkins Methodology LPKR Arunguvai J International Journal of Applied Engineering Research 9 (26), 8996-8998, 2014 | | 2014 |
| A Hybrid Fish Swarm Based Differential Evolution Approach for Vibration Control of Vehicle Active Suspension System SK Kalaivani R ,Lakshmi P International Journal of Applied Engineering Research 9 (26), 8759-8764, 2014 | | 2014 |
| Experimentation of vibration control in a nonlinear two degree of freedom quarter car model using LabVIEW SKK Kalaivani R , Lakshmi P International Journal of Applied Engineering Research (IJAER) 9 (24), 24679 …, 2014 | | 2014 |
| Fuzzy modeling and control of an inverted pendulum KR Deepa S., Lakshmi P. International Conference on Innovations in Intelligent Instrumentation …, 2013 | | 2013 |
