To address the issues of low control precision and potentially unsolvable control laws for flexible joint under uncertain disturbance and multiple constraints, a model predictive control (MPC) method ...
Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...
The polymer electrolyte membrane fuel cells (PEMFCs) systems with unmeasurable variables, output constraints, time-varying disturbances, and uncertain dynamics can hardly be modelled well, such that ...
Australian researchers are proposing a novel, learning-based H∞ control method to enhance the performance of vanadium redox flow batteries in DC microgrids. Vanadium redox flow batteries are one of ...
ANSI approval marks major milestone for digital manufacturing and model-based enterprise adoption.