Mathematical structures can be systematically extended to hyperstructures and superhyperstructures through the use of power sets and iterated power-set constructions. Such extensions provide a flexible framework for modeling hierarchical, multilevel, and set-valued phenomena across diverse mathematical and applied domains. Representative examples include superhypergraphs[1], superhyperalgebras, and superhyperfuzzy sets[2], which have recently attracted growing attention. Despite this progress, research on superhyperstructures is still at an early stage, and many potential applications, structural properties, and related concepts remain unexplored. Motivated by this gap, this paper investigates hyperstructural and superhyperstructural extensions of queues, Markov chains, intervals, logical systems, and discrete-time systems. For each case, we formally define the corresponding hyper and superhyper models, analyze their fundamental mathematical properties, and present illustrative examples that clarify their behavior and hierarchical nature. These results aim to broaden the theoretical foundation of superhyperstructures and stimulate further research into their applications and connections with existing mathematical frameworks.