Papers
4
Total Citations
31
H-Index
4
About
Lucien Etienne’s research bridges nonlinear control theory and practical water management, with a focus on event-triggered systems and mobile robotics. His most cited work, “Event-triggered observers and observer-based controllers for a class of nonlinear systems” (2015, 10 citations), established foundational conditions for stabilizing nonlinear plants under network constraints using the event-triggered paradigm—a key contribution to resource-efficient control. Building on this, Etienne has pioneered the integration of stochastic model predictive control (SMPC) with mobile robots for irrigation canal management. His 2025 paper (8 citations) introduces an SMPC framework where a measurement robot optimizes its path based on velocity, energy, and sampling distances, while handling canal uncertainties through tightened constraints. Earlier work (2023, 6 citations) demonstrated this approach’s feasibility, and his 2022 study (7 citations) developed methods to extract water quality maps from field measurements for robotic simulation. By combining rigorous control theory with real-world environmental monitoring, Etienne’s work directly addresses challenges in precision agriculture and water resource management. His research exemplifies how advanced control techniques can be deployed in autonomous systems to improve sustainability and operational efficiency.
Research Focus
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