A Cargo Throughput Capacity Quantization Estimation Using Semi-Markov Jump System Filter Within Partial State Delay

Cargo throughput capacity is a very important and basic indicator for port expansion and operation and maintenance. As a non-linear dynamic indicator affected by multiple variables, timely estimation of cargo throughput capacity can schedule the usage of quay cranes, thereby reducing port energy consumption. To solve the estimation of the long-term scale unit, to complete the estimation in the multi-modal situation through the method of system evolution and to include the quay crane scheduled situation into the system, we propose a quantified state filter within partial state delay to estimate the throughput capacity based on the semi-Markov jump systems. The Hoc stability can be assured under the conditions provided by the Lyapunov approach. Numerical results show that our methods could provide a different prospect and satisfying performance in the throughput capacity quantization estimation.