Papers
2
Total Citations
35
H-Index
2
About
A. Balluchi is a leading researcher in hybrid control systems, with a primary focus on automotive applications and autonomous vehicle navigation. His work bridges the gap between continuous dynamics and discrete event systems, particularly in the context of wheeled robots and vehicular control. Balluchi’s most cited paper, "Path-following with a bounded-curvature vehicle: a hybrid control approach" (2005, 19 citations), addresses the challenging problem of stabilizing a kinematic car model to a path under mild restrictions, incorporating the inherent curvature limitations of wheeled robots. This work provides a robust hybrid control framework for path-following, a fundamental problem in autonomous driving. Additionally, his paper "Actual Engaged Gear Identification: A Hybrid Observer Approach" (2005, 16 citations) demonstrates his expertise in automotive systems, where he developed a hybrid observer to accurately identify the engaged gear in a vehicle’s transmission—a critical component for advanced powertrain control. Balluchi’s contributions are notable for their practical relevance, offering elegant solutions to real-world control problems. His work has influenced both academic research in hybrid systems and industrial applications in automotive control, making him a respected figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Path-following with a bounded-curvature vehicle: a hybrid control approach19 citations · 2005
- 2ACTUAL ENGAGED GEAR IDENTIFICATION: A HYBRID OBSERVER APPROACH16 citations · 2005