About

V. Casanova’s research lies at the intersection of networked control systems, robotics, and sensor fusion, with a particular focus on dual-rate and packet-based control strategies. Their most-cited work introduces a delay-independent dual-rate PID controller for packet-based networked control systems (25 citations), addressing the challenge of coordinating slow-rate sensing with fast actuation. Building on this, Casanova developed a nonuniform dual-rate extended Kalman-filter-based sensor fusion approach for path-following control of holonomic mobile robots with mecanum wheels (19 citations), enabling robust navigation despite sensors operating at different rates. Their earlier work on controlling industrial robots via PROFIBUS DP fieldbus (16 citations) demonstrated how distributed architectures can open up control schemes for real-time applications. More recently, Casanova has advanced resource-efficient control for autonomous vehicles by combining Kalman filtering, periodic event-triggered communication, and prediction-based control (6 citations). With a cumulative impact of nearly 100 citations across these key papers, Casanova’s contributions are shaping the future of networked and resource-constrained robotic systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
89
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Delay-independent dual-rate PID controller for a packet-based networked control system
25 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universitat Politècnica de València, Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago