{'fraction_non_alphanumeric': 0.011461318051575931, 'fraction_numerical': 0.0, 'mean_word_length': 4.9743589743589745, '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}}
Some Problems Handled by Particle Swarm Optimization in Automatic Control

Most of the methods to design automatic control laws rely on the solution to optimization problems. However, straightforward formulations of costs and constraints of these problems are mainly non convex, non smooth or non analytic. That is why the classical approach is to simplify the problem so as to get tractable and exactly solvable optimization problems. The use of direct methods such as metaheuristics is underused in the control community. In this paper, a Particle Swarm Optimization method is used to solve some complex initial problems found in the control field to show the interest in the use of such methods.