{'fraction_non_alphanumeric': 0.018867924528301886, 'fraction_numerical': 0.0, 'mean_word_length': 5.242647058823529, '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}}
A symbolic approach to the design of robust cyber-physical systems

Robustness plays a major role in the analysis and design of engineering systems. Although robustness is reasonably well understood in control theory, the fundamental tenets of robustness in Cyber-Physical Systems (CPSs) remain to be discovered. In this paper we present a design methodology, based on symbolic models, for robust CPSs. We combine existing notions of robustness, based on input-output stability for physical systems, with a recently developed analogue for cyber systems. Our main result states that robustness for CPS can be achieved through a decomposition of concerns: the combination of robustness of the physical system with respect to continuous disturbances and the robustness of the cyber system with respect to discrete disturbances results in a robust CPS.