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Beskrivning
This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension.
Dr. Sudath R. Munasinghe is a Professor of Control Systems and Robotics at the Department of Electronic and Telecommunication Engineering of the University of Moratuwa, Sri Lanka. He is also a visiting fellow at the Department of Global Development of the College of Agriculture and Life Sciences of Cornell University, USA. He teaches courses at undergraduate and graduate levels in the areas of control systems, robotics, unmanned aerial vehicles, and learning-based controls. His research spans several areas including vision-force sensor fusion, robot manipulator control, mobile robot self-navigation, aerial manipulation, non-invasive fetal monitoring, and elephant rumble detection using machine learning. Dr. Munasinghe was a 2021 Fulbright scholar.
Innehållsförteckning
1. Unconstrained Function Optimization.- 2. Constrained Function Optimization.- 3. Unconstrained Functional Optimization.- 4. Constrained Functional Optimization.- 5. Continuous Time Optimal Control.- 6. Linear Quadratic Regulator.- 7. Optimal Control with Pontryagin’s Maximum Principle.- 8. Discrete-time Optimal Control.- 9. Model Predictive Control.