
Smart Grid for Sustainable Energy
Overview of electricity demand and supply, industry structure, and renewable energy today. Topics: Fundamentals of energy and electric power – a survey of traditional and new energy resources; Power markets—today and tomorrow; Control on many time-scales – from reserve management to second by second regulation; Demand dispatch and virtual energy storage Read More
Stochastic Control
Stochastic Control The first goal is to learn how to formulate models for the purposes of control, in applications ranging from finance to power systems to medicine. Linear and Markov models are chosen to capture essential dynamics and uncertainty. The course will provide several approaches to design control laws based…... Read More
Stochastic Processes
An introduction to stochastic process theory with emphasis on applications to communications, control, signal processing and machine learning. The course covers basic models, including Markov processes, and how they lead to algorithms for classification prediction, inference and model selection. The course mainly follow's Hajek's excellent textbook. Markov chains and Monte-Carlo…... Read More
Control Systems & Reinforcement Learning
Reinforcement learning is a collection of tools for the design of decision and control algorithms. What makes RL different from traditional control is that the modelling step is avoided, and instead the control design is based on observations of the system to be controlled. Course information from Spring 2021 Covers…... Read More