During this period, researchers increasingly framed control problems within state-space models, unifying estimation and feedback in a coherent design framework for multivariable systems. The era emphasized robustness, separation principles, and the transition from continuous-time plants to discrete-time implementations via sampling and discrete controllers. Methodologies favored state-space representations, controllability and observability as core concepts, and procedures for synthesizing low-order, noninteracting controllers.