{'fraction_non_alphanumeric': 0.010622154779969651, 'fraction_numerical': 0.0015174506828528073, 'mean_word_length': 5.168224299065421, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Towards a robust multi-level control approach for baggage handling systems

This paper revisits the routing problem in baggage handling systems. We propose a two-level control approach based on a model predictive controller at the top level and a constrained feedback controller at the bottom level that minimizes the L2 gain of the closed-loop system. The model predictive control problem is recast as a linear programming problem and the constrained feedback controller design problem is formulated as minimization of a linear objective function subject to linear matrix inequalities. The effectiveness of the proposed method is illustrated by a case study.