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 ...

In this paper, a first attempt is made to formulate a spatial equilibrium quadratic programming problem in its primal and "purified" dual forms. This formulation is in sharp contrast to the quadratic ...

Co., Ltd. recently announced that its patent for "An Artificial Intelligence Optimization Method for Natural Gas Liquefaction Systems" has been authorized by the National Intellectual Property ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Nomographs are typically used in applications for which the modest level of accuracy they provide is sufficient and useful.

China and America don’t know it yet, but the artificial intelligence revolution will force them to fiercely compete for dominance and — at the same time and with equal energy — cooperate at a ...

Abstract: Aiming at the nonlinear pursuit-evasion game problems of the spacecrafts, an improved Radau pseudo-spectral method whose initial values are pre-optimized by a hybrid optimization algorithm ...

Abstract: Optimizing microservice placement to enhance the reliability of services is crucial for improving the service level of microservice architecture-based mobile networks and Internet of Things ...

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Others have experimented with a modified rubber duck that, when the user presses a button, nods or offers brief, neutral ...

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that ...