Mariana Santos Matos Cavalca
Papers
2
Total Citations
13
H-Index
2
About
Mariana Santos Matos Cavalca is a researcher specializing in advanced control systems, with a focus on nonlinear model-based predictive control and its applications in robotics. Her work bridges the gap between theoretical optimization and practical implementation, particularly in the domain of bipedal locomotion. Cavalca’s most-cited paper, "Differential evolution optimization applied in multivariate nonlinear model-based predictive control" (2015, 9 citations), introduces a novel approach to optimizing control systems for complex, multi-variable industrial applications, emphasizing constraint handling and efficiency. Her notable contribution, "Nonlinear predictive control applied to a biped walker with adjustable step length using a passive walking‐based reference generator" (2020, 4 citations), demonstrates her innovative use of passive dynamics and neural networks to generate adaptive gait references, enabling more natural and energy-efficient walking patterns in robots. This work highlights her ability to integrate machine learning with classical control theory, advancing the field of autonomous robotics. Cavalca’s research has significant implications for industrial automation and assistive technologies, making her a key figure in the evolution of intelligent control systems.
Research Focus
Key Achievements
Top Papers
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