Rayas-Sánchez, José E.2025-07-092025-07-092025-04-28J. E. Rayas-Sánchez, “Cognitive Broyden-based input space mapping for design optimization,” IEEE Microwave and Wireless Technology Letters, vol. 35, no. 6, pp. 760-763, Jun. 2025. (p-ISSN: 2771-957X; e-ISSN: 2771-9588; published online: 28 April 2025; DOI: 10.1109/LMWT.2025.3560909)2771-957Xhttps://hdl.handle.net/11117/11676Cognition-driven design of RF and microwave circuits is an emerging and promising approach to efficient design optimization of computationally expensive fine models. Existing techniques for cognition-driven design have been developed for optimizing microwave filters without exploiting traditional coarse model representations, e.g., equivalent circuits. Instead, intermediate feature-space parameters have been used to establish other types of mappings in the design process. In this paper, a cognitive space mapping (SM) technique that fully exploits traditional coarse models is proposed for the first time. The proposed cognitive SM approach exploits a previous cognition-driven parameter extraction (PE) formulation at each SM iteration. This cognitive SM technique follows an algorithmic structure that is an extension of that one used by the Broyden-based input SM, better known as aggressive space mapping (ASM). A synthetic benchmark example illustrates the performance improvement of the proposed cognitive SM versus ASM.enghttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esBroydenChebyshevEuclideanKullback-LeiblerManhattanCognitionNormObjective FunctionOptimizationParameter ExtractionSpace Mappinginfo:eu-repo/semantics/article