Experiential Advanced Control Design II
Experience-based learning in design, analysis, & verification of automatic control for uncertain systems. The course emphasizes use of practical algorithms, including thorough computer implementation for representative problems. The student will master skills needed to apply advanced model-based control analysis, design, and estimation to a variety of industrial applications. First-principles analysis is provided to explain and support the algorithms & methods. The course emphasizes model-based state estimation, including the Kalman filter, and particle filter. Optimal feedback control of uncertain systems is also discussed (the linear quadratic Gaussian problem) as well as considerations of transforming continuous-time to discrete time.
Prerequisites & course information
{'preRequisiteCourse': '1242411', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1245452', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1155081', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1242812', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1242811', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1242832', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1242412', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1242831', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1245451', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027