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20192023
most citedPerformance-Driven Cascade Controller Tuning with Bayesian Optimization

82 citations · 125 across the 12 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

eess.SY2020

Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach

Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith

Tensioned cable nets can be used as supporting structures for the efficient construction of lightweight building elements, such as thin concrete shell structures. To guarantee impo…

eess.SY2020★ 11 cited

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization

Christopher König, Mohammad Khosravi, Markus Maier +3

This paper presents an automated, model-free, data-driven method for the safe tuning of PID cascade controller gains based on Bayesian optimization. The optimization objective is c…

eess.SY2020★ 82 cited

Performance-Driven Cascade Controller Tuning with Bayesian Optimization

Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski +3

We propose a performance-based autotuning method for cascade control systems, where the parameters of a linear axis drive motion controller from two control loops are tuned jointly…

eess.SY2020

Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization

Mohammad Khosravi, Varsha Behrunani, Roy S. Smith +2

Cascaded controller tuning is a multi-step iterative procedure that needs to be performed routinely upon maintenance and modification of mechanical systems. An automated data-drive…

math.OC2020

Convex Nonparametric Formulation for Identification of Gradient Flows

Mohammad Khosravi, Roy S. Smith

In this paper, we develop a nonparametric system identification method for the nonlinear gradient-flow dynamics. In these systems, the vector field is the gradient field of a poten…

math.OC2020

Nonlinear System Identification with Prior Knowledge of the Region of Attraction

Mohammad Khosravi, Roy S. Smith

We consider the problem of nonlinear system identification when prior knowledge is available on the region of attraction (ROA) of an equilibrium point. We propose an identification…

eess.SY2020★ 8 cited

Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization

Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi +2

This paper proposes a new methodology in linear time-periodic (LTP) system identification. In contrast to previous methods that totally separate dynamics at different tag times for…