Alessio Moreschini

Papers

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About

Alessio Moreschini is a rising researcher in control theory, whose work focuses on the intersection of nonlinear systems, passivity-based control (PBC), and sampled-data dynamics. His most cited paper, "Discrete-time energy-balance passivity-based control" (2022, 16 citations), makes a significant contribution by extending classical energy-balancing techniques to the discrete-time domain, a crucial step for digital implementations of controllers that preserve stability and physical intuition. In "Moment Matching for Nonlinear Systems of Second-Order Equations" (2023, 4 citations), Moreschini provides necessary and sufficient conditions for achieving moment matching in second-order nonlinear systems, offering a powerful framework for model reduction in mechanical and structural systems. His work "Sampled-Data Steering of Unicycles via PBC" (2022, 2 citations) demonstrates practical application, using a novel discrete-time port-Hamiltonian representation to design a time-varying digital feedback for mobile robot steering, validated through simulations. With a growing citation record and a focus on bridging continuous-time theory with digital control, Moreschini is establishing himself as a key contributor to the next generation of energy-based control methods for cyber-physical systems.