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About

Antonello Monti is a leading figure in the intersection of robotics, control theory, and power systems simulation. His research spans from the dynamic analysis of robotic manipulators to the development of advanced control algorithms and distributed real-time simulation environments. Monti’s major contributions include pioneering the application of Polynomial Chaos Theory (PCT) to model uncertainty in robotic manipulators, as demonstrated in his most-cited work on SCARA robot dynamics (45 citations). He has also advanced nonlinear control design for permanent magnet synchronous motors using synergetic control theory (20 citations), a key technology for high-performance industrial machines and robots. More recently, Monti has focused on geographically distributed real-time simulation (GD-RTS) for next-generation power systems, developing interface algorithms that enable flexible, virtual interconnection of digital real-time simulators. His work on bilateral teleoperation approaches for distributed simulations (8 citations) highlights his ability to bridge control theory with practical, large-scale system assessment. With a career that integrates rigorous theoretical foundations with applied engineering challenges, Monti’s research continues to shape how uncertainty and real-time constraints are managed in complex electromechanical and power systems.