collaborators

7 papers

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…

eess.SY2020

Distributed Control Design for Heterogeneous Interconnected Systems

Yvonne R. Stürz, Annika Eichler, Roy S. Smith

This paper presents scalable controller synthesis methods for heterogeneous and partially heterogeneous systems. First, heterogeneous systems composed of different subsystems that…

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.SY2019

Stochasticity in Feedback Loops; Great Expectations and Guaranteed Ruin

Roy S. Smith, Bassam Bamieh

Stochastic feedback systems give rise to a variety of notions of stability. The conditions for the stability of the median, mean, and variance stability conditions differ. These co…

eess.SY2019

Robust Adaptive Model Predictive Control with Worst-Case Cost

Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin +2

A robust adaptive model predictive control (MPC) algorithm is presented for linear, time invariant systems with unknown dynamics and subject to bounded measurement noise. The syste…