Machine Learning-Based Model Predictive Control of Two-Time-Scale Systems

Model based predictive control of HVAC systems

The problem of controlling a heating ventilating and air conditioning system in a single zone of a building is addressed. Its formulation is done in order to maintain acceptable thermal comfort for the occupants and to spend the least possible energy to achieve that. In most operating conditions these are conflicting goals, which require some sort of optimisation method to find appropriate solu...

Model Based Predictive Control for Linear Systems

Model Based Predictive Networked Control Systems

Networked control systems where the sensors, controller and actuators of a digital control system reside on different computer nodes linked by a network, aim to overcome the disadvantages of conventional digital control systems at the application level, such as difficulty of modification, vulnerability to electrical noise, difficulty in maintenance and upgrades. However random communication del...

Two-level Predictive Based Axis Control for Virtual Machine Tool

Dealing with activation of trajectory constraints within machine-tools CNC is usually performed directly by the axis controllers, leading to a compromise with axis performance. This paper presents an original strategy, including classical predictive feedback axis controllers, with an upper level real time trajectory planning module. This module realized without any structural changes in the mai...

Reinforcement Learning Based PID Control of Wind Energy Conversion Systems

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...