Publication

Proposed, compared and simulated algorithms for Iterative learning controller, stabilizing a Chemical Reactor with uncertain parameters, initial output resetting error and input disturbance.

Proposed a robust adaptive control system by using Gamma neural networks for a nonlinear and unstable Inverted Pendulum system, showing higher applicability and adaptivity in encountering disturbance and colored noise situations compared to structures such as MLP and TDL networks.

Proposed, optimized and simulated Speed Control algorithms using Genetic Algorithm, fuzzy logic and PID controllers, achieving minimum torque ripple and high control performance.

Developed a method for time series prediction of chaotic systems using Genetic Algorithm to increase the time horizon of prediction.

Starch Glucose de-coloring mechanism based on flow controlled activated carbon injection & re-absorption ensuring transparency of final product with least energy and carbon cost.

Starch Glucose PH control mechanism based on Adaptive & Cascade Control of conductivity & PH in conjunction with flow dosing ensuring transparency of final product with least energy and carbon cost.

Optical Laser/ InfraRed thickness measuring and adaptive controller for profiling thickness of molten plastic of multi-zone heater extruders, with widely use in plastic blow and molding industrial machinery.