학술논문

On analytic interpolation with non-classical constraints for solving problems in robust control
Document Type
Conference
Source
2021 American Control Conference (ACC) American Control Conference (ACC), 2021. :2374-2381 May, 2021
Subject
Aerospace
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Robust control
Interpolation
Sufficient conditions
Approximation algorithms
Delays
Dynamical systems
Language
ISSN
2378-5861
Abstract
In this work we consider robust stabilization of uncertain dynamical systems and show that this can be achieved by solving a non-classically constrained analytic interpolation problem. In particular, this non-classical constraint confines the range of the interpolant, when evaluated on the imaginary axis, to a frequency-dependent set. By considering a sufficient condition for when this interpolation problem has a solution, we derive an approximate solution algorithm that can also be used for controller synthesis. The conservativeness of the method is reduced by introducing a shift, which can be tuned by the user. Finally, the theory is illustrated on a numerical example with a plant with uncertain gain, phase, and output delay.