This repository contains simulations and visualizations from assignments and projects in the 2023 Optimal Control Course at K. N. Toosi University of Technology, supervised by Dr. Hamid Khaloozadeh ...

This course surveys the use of optimization to design behavior. We will explore ways to represent policies including hand-designed parametric functions, basis functions, tables, and trajectory ...

Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.

This repository contains the implementation and analysis of several optimal control strategies for the Acrobot system, developed as part of the Optimal Control course at the University of Bologna. The ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

A new theory suggests the motor system acts as an optimal feedback controller and predicts such coordination features as task-constrained variability and goal-directed corrections. We often take for ...

Abstract: This paper studies the distributed optimal cluster consensus control problem with a data-driven value iteration (VI) algorithm for Takagi-Sugeno (T-S) fuzzy multi-agent systems (MASs) with ...