Papers
18
Total Citations
681
H-Index
11
About
M.L. Corradini is a prominent control systems researcher whose work has profoundly shaped the fields of robust control, sliding mode control, and autonomous robotics. With a career spanning over two decades, Corradini has made foundational contributions to the development of discrete-time sliding mode controllers capable of handling real-world system uncertainties, nonlinear dynamics, and actuator imperfections. Among Corradini's most influential contributions is a highly cited 2002 study (130 citations) demonstrating how sliding mode control can robustly stabilize nonlinear plants despite challenging actuator nonlinearities such as backlash and dead zones — phenomena frequently ignored in conventional design. Complementing this, a sustained body of work on wheeled mobile robots addressed trajectory tracking under nonholonomic constraint violations and dynamic uncertainties, earning considerable recognition across multiple publications totaling hundreds of citations. Corradini has also pioneered the integration of neural networks into sliding mode frameworks, developing adaptive controllers for robotic manipulators that learn system uncertainties online, as demonstrated through both theoretical development and rigorous experimental validation. Beyond research, Corradini contributed to control education through innovative Internet-based remote laboratory platforms. Collectively, this work reflects a researcher deeply committed to bridging theoretical rigor with practical, experimentally validated solutions in intelligent and robust control.
Research Focus
Key Achievements
Top Papers
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- 9An Internet based laboratory for control education25 citations · 2003
- 10Robust Control of Robot Arms via Quasi Sliding Modes and Neural Networks11 citations · 2014