Making physical processes do what you designed them to do.
Representative cascaded three-tank arrangement showing the pump, reservoir, sensors and control path. Project artwork. Bamimore et al., Journal of Dynamic Systems, Measurement, and Control (2023).
View full figureThe Question
How do you design a controller that handles nonlinear behavior, model uncertainty, and real-time constraints simultaneously?
My Contribution
Designed/fabricated cascaded three-tank system, implemented NMPC, MHE, EKF, economic MPC. Evaluated ANN-based predictive control.
What the record shows
Demonstrated real-time constraint satisfaction and setpoint tracking in physical hardware under disturbances.
What this does—and does not—establish
Validates controller architectures on specific pilot-scale hardware, not universal bounds on stability under arbitrary noise.
Resources
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Publication records
Offset-Free Quasi-Infinite Horizon Nonlinear Model Predictive Controller Design Using Parameter Adaptation
Ayorinde Bamimore et al. · Co-author: Abraham Osinuga. Journal of Dynamic Systems, Measurement, and Control 145(10): 101005, 2023.
A Comparison of Two Artificial Neural Networks for Modelling and Predictive Control of a Cascaded Three-Tank System
A. Bamimore et al. · Co-author: Abraham Osinuga. IFAC-PapersOnLine 54(21): 145–150, 2021.
Design, fabrication and interfacing of a cascaded three-tank system with micro-controller board for research and education in process control
A. Bamimore et al. · Co-author: Abraham Osinuga. Innovative Solutions in Engineering: Journal of the Nigerian Academy of Engineering 3(1), 2021.