Found 4 relevant results in 0.70s where lecturer="Roy Smith"

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227-0680-00L 2020S , 2021S , 2022S , 2023S , 2024S , 2025S , 2026S 3 Credits MSC D-ITET , D-ARCH , D-MAVT

Introduction to basic concepts from automatic control theory and their application to the control and automation of buildings.

2020S
2021S
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2025S
227-0216-00L 2004S , 2005S , 2006S , 2007S , 2008S , 2020S , 2021S , 2022S , 2023S , 2024S , 2025S , 2026S 6 Credits BSC , MSC D-BSSE , D-ARCH , D-INFK , D-MAVT , D-MATH , D-PHYS , D-ITET

The focus of the course is on the design of advanced controllers for cyber-physical systems, that is, systems in which the controller is an embedded computer that can sense and actuate a physical plant. Advanced computational control strategies like Model Predictive Control, Reinforcement Learning, and Data-Driven control will be covered.

2004S
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227-0690-13L 2023S , 2024S 4 Credits DR , MSC D-ITET , D-MAVT , D-INFK , D-MATH

Robust control theory addresses the problem of analysing and designing feedback systems that achieve performance objectives in the presence of uncertainty in the dynamics of the system. Convex optimisation forms the basis of the computational tools needed to solve these problems. The course covers the theory, computation, and practical applic. of these methods to a variety of uncertain systems.

2023S
227-0689-00L 2020W , 2021W , 2022W , 2023W , 2024W , 2025W 4 Credits DR , MSC , WBZ D-ITET , D-MATH , D-INFK , D-MAVT , D-ERDW , D-PHYS

Theory and techniques for the identification of dynamic models from experimentally obtained system input-output data.

2020W
2021W
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2024W