Event-Triggered Strategies for Model Predictive Control of Delayed Linear Systems

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Behjati, Vahid | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48607 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Haeri, Mohammad
Abstract:
Delay is an important factor in modeling and describing many chemical processes, mechanical systems, teleoperation and networked control systems. On the other hand, model predictive control is a very useful and powerful tool for handling different types of systems including time delayed systems. The main disadvantage of model predictive control is massive computational load and which may lead to wasting system resources. One of the best options for dealing with this issue is to employ event-triggered strategy in model predictive control. Using this approach can relax computational efforts and save system resources. This thesis is focused on introducing a robust model predictive control using event-triggered based strategy for time delayed systems which are impressed by bounded disturbances. The proposed method should reduce the computation load noticablely while maintain the model predictive control advantages. Furthermore, the proposed method should be feasible in the presence of inputs and states constraints and guarantee the closed loop stability
Keywords:
Model Predictive Control ; Disturbances ; Constraints ; Tim-Delayed Linear Systems ; Event-Triggered Strategies