This paper investigates the underlying algebraic structures and asymptotic stability properties of a specialized class of complex exponential towers indexed by Fibonacci numbers. We formally define the mathematical tower set composed of iterative exponentiations of complex variables , where the corresponding phase parameters are explicitly constrained to the ordered Fibonacci sequence. We demonstrate that under appropriate algebraic restrictions, multi-tower collections of these structures can be modeled effectively through finitely generated modules over commutative rings. To evaluate the precise asymptotic behavior of these complex systems, we utilize eigenvalue-based stability criteria to analyze the maximal rate-of-change within the associated tower vectors rigorously. Furthermore, we establish a novel theoretical connection between the structural constraints of these algebraic groups and bounded periodic behavior, which functions analogous to classical Burnside-type properties. By doing so, we provide a rigorous classification of the underlying group representations. Additionally, we analyze the structural transitions that occur within the network topology when external parameters fluctuate dynamically in real-time scenarios. Finally, the practical utility, convergence, and robustness of the proposed mathematical framework are comprehensively demonstrated by applying these algebraic tower representations to actively stabilize the curvilinear motion within an advanced, engineering-based vibrating dynamical system model under external perturbations.