For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
Abstract: Model-free predictive control (MFPC) is developed to address the issue of the weak robustness in model predictive control (MPC) based on a physical model. In predictive control algorithms, ...
Abstract: This paper addresses the fixed-time event-triggered dynamic positioning (DP) problem of a marine surface vehicle (MSV) subject to external disturbance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results