Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...
Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...
Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...
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Jet-powered humanoid robot baby achieves robust flight control in simulations
Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.
Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...
UC Santa Barbara professor James B. Rawlings has been named the 2025 recipient of the Richard E. Bellman Control Heritage Award, the nation’s top recognition for career contributions to automatic ...
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