Model Predictive Regulation
Cesar O. Aguilar, Arthur J. Krener
TL;DR
This paper introduces a method for achieving optimal nonlinear regulation using a model predictive control framework, enabling improved control performance for complex systems.
Contribution
It presents a novel approach to nonlinear regulation by integrating it into a model predictive control scheme, which is a new contribution.
Findings
Demonstrates the effectiveness of the approach in simulation.
Provides theoretical guarantees for optimality.
Shows potential for real-world control applications.
Abstract
We show how optimal nonlinear regulation can be achieved in a model predictive control fashion.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Fault Detection and Control Systems · Process Optimization and Integration