- Adaptive Dynamic Programming Control
- Advanced Control Systems Optimization
- Leaf Properties and Growth Measurement
- Adaptive Control of Nonlinear Systems
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Machine Learning in Healthcare
- Currency Recognition and Detection
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
Lovely Professional University
2019
Missouri University of Science and Technology
1997-2002
In this paper, adaptive critic based neural networks have been used to design a controller for benchmark problem in aircraft autolanding. The control methodology comprises successive adaptations of two networks, namely "action" and "critic" network (which approximate the Hamiltonian equations associated with optimal theory) until closed loop is achieved. autolanding deals longitudinal dynamics an which be landed specified touchdown region (within acceptable ranges speed, pitch angle sink...
In this paper, adaptive critic based neural networks have been used to design a controller for benchmark problem in aircraft autolanding. The control methodology comprises successive adaptations of two networks, namely 'action' and 'critic' until closed loop optimal is achieved. autolanding deals with longitudinal dynamics an which be landed specified touchdown region the presence wind disturbances gusts using elevator deflection as glideslope flare modes. performance neurocontroller...