Dominic Liao‐McPherson

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About

Dominic Liao‐McPherson is a rising leader in control theory, whose work bridges the gap between optimization and real-time dynamical systems. His primary research areas include data-driven control, online optimization-based feedback, and the stability analysis of complex cyber-physical systems. Liao‐McPherson is best known for his pioneering framework for sampled-data online feedback equilibrium seeking, which enables controllers to drive nonlinear systems toward efficient, time-varying operating points—even under uncertainty. His seminal 2021 paper on this topic, which has garnered 27 citations, introduces a general method for encoding system objectives using generalized equations, allowing for seamless integration of optimality and constraint satisfaction. This work has significant implications for autonomous systems, smart grids, and robotics, where real-time decision-making is critical. By rigorously proving stability and tracking guarantees, Liao‐McPherson has provided a foundational toolkit for next-generation controllers that can adapt on the fly. His contributions are shaping how engineers design feedback loops that not only stabilize but also optimize, marking him as a key figure in the evolution of modern control science.