Abstract: Iterative learning model predictive control (ILMPC) has become an excellent data-driven intelligent control strategy for digitized batch manufacturing, featured by the progressive ...
Abstract: In this work, a model-free adaptive iterative learning control of high-order pseudo partial derivatives is presented for a category of nonlinear discrete-time systems that have features ...
Iterative methods form the backbone of numerical strategies for locating solutions of nonlinear equations, where direct analytic solutions are often unavailable. At their essence, these algorithms ...
Large sparse linear systems arise in diverse fields such as structural engineering, fluid dynamics, network analysis and machine learning. Direct factorisation techniques often become impractical for ...
Introduction Urgent, tailored and equitable action is needed to address the alarming rise in syphilis rates in Canada. In the last decade, the rates of infectious syphilis have increased by 345% in ...