Abstract: In this technical note, an adaptive model-predictive control (MPC) is proposed for a class of discrete-time linear systems with constant parametric uncertainties and control constraint. The ...
A Level 200 Computer Science student has taken to social media to question why mathematics dominates coding in his programme Giovanni shared his frustration, stressing the intense academic pressure ...
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning
Abstract: The state and input constraints of nonlinear systems could greatly impede the realization of their optimal control when using reinforcement learning (RL)-based approaches since the commonly ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. More than 25% of the UC San Diego students placed in the school's lowest remedial math class ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results