Salem Jagannathan
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Also affiliated: University of North Florida (1988); Chongqing University (2018); University of Georgia (2009); The University of Texas at Arlington (1993–2002); Missouri University of Science and Technology (1987–2020); State Key Laboratory of Mechanical Transmission (2018); The University of Texas at San Antonio (2001); University of Manitoba (2002); University of Missouri (2006)
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Biography and Research Information
OverviewAI-generated summary
Salem Jagannathan's research focuses on the application of neural networks and feedback control systems to complex nonlinear systems. His work has explored the use of multilayer neural networks for controlling discrete-time systems and has investigated output feedback control strategies for quadrotor unmanned aerial vehicles (UAVs) and robot formations. Jagannathan has also examined model-based fault detection and prognostics for Takagi–Sugeno fuzzy systems and reinforcement-learning-based dual-control methodologies for nonlinear systems, including applications in spark engine exhaust gas recirculation (EGR) operation. His publications include studies on consensus-based control for nonholonomic mobile robot formations and hybrid control approaches. Jagannathan has an h-index of 11, with 32 publications accumulating over 1,000 citations.
Metrics
- h-index: 11
- Publications: 34
- Citations: 1,053
Selected Publications
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Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay (2021)
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- Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay
- Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay
- Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay
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