Exploring the Resilience of Uncertain Nonlinear Handling Chain Systems in Container Ports With a Novel Sliding Mode Control

Uncertain handling chain system (HCS) of container ports brings steady-state error to the original control decisions, and even worse, dramatically degrades performance. The will cause unsatisfied freight requirement be much higher than expected value for a long time, resulting in decrease robustness resilience. In this work, novel sliding mode with power integral reaching law (SMC-P) is presented nonlinear HCS under uncertainty. Specifically, state variable, exponential switching function are integrated traditional law. And it proven that eliminated error, accelerated approach speed, reduced chattering can effectively obtained by SMC-P. A uncertain ability considered. SMC-P compared method, genetic algorithm, quasi-sliding control. Simulation results show does not only balance both reduction avoidance caused uncertainty, but also optimize performance, robustness, resilience HCS. This study economic sustainability contributions port authorities.