Robust and optimal design and analysis of linear control systems
EE6225 Process Control
Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy is implemented in the model to control two biomarkers of Parkinsonian tremor and motor impairment symptoms.
Objective of project was to recreate a simulation from a published article and use the recreated simulation to obtain additional insights. Showcases proficiency in MATLAB and Simulink. Article found here: https://www.researchgate.net/publication/367037914_A_Microclimate_Greenhouse_Multivariable_Control_A_Guide_to_use_Hardware_in_the_Loop_Simulation
It is developed the problem of control a multivariable four tank system around an equilibrium point, including robustness issues and decoupling approaches.
Matlab Simulink simulation for ball position control on a 2DoFs planar robot
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