82 citations · 125 across the 12 of their papers we have counts for
17 papers
Generalized Power Iteration with Application to Distributed Connectivity Estimation of Asymmetric Networks
M. Mehdi Asadi, Mohammad Khosravi, Hesam Mosalli +2
The problem of connectivity assessment in an asymmetric network represented by a weighted directed graph is investigated in this article. A power iteration algorithm in a centraliz…
Diagonally Square Root Integrable Kernels in System Identification
Mohammad Khosravi, Roy S. Smith
In recent years, the reproducing kernel Hilbert space (RKHS) theory has played a crucial role in linear system identification. The core of a RKHS is the associated kernel character…
Representer Theorem for Learning Koopman Operators
Mohammad Khosravi
In this work, the problem of learning Koopman operator of a discrete-time autonomous system is considered. The learning problem is formulated as a constrained regularized empirical…
The Existence and Uniqueness of Solutions for Kernel-Based System Identification
Mohammad Khosravi, Roy S. Smith
The notion of reproducing kernel Hilbert space (RKHS) has emerged in system identification during the past decade. In the resulting framework, the impulse response estimation probl…
Benchmarking Problems for Robust Discrete Optimization
Marc Goerigk, Mohammad Khosravi
Robust discrete optimization is a highly active field of research where a plenitude of combinations between decision criteria, uncertainty sets and underlying nominal problems are…
Distributed Model Predictive Control of Buildings and Energy Hubs
Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn +4
Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their…
On Robustness of Kernel-Based Regularized System Identification
Mohammad Khosravi, Roy S. Smith
This paper presents a novel feature of the kernel-based system identification method. We prove that the regularized kernel-based approach for the estimation of a finite impulse res…
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Accurate positioning and fast traversal times determine the productivity in machining applications. This paper demonstrates a hierarchical contour control implementation for the in…
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…
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…
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…
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…
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…
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…
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…
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…
Structured exploration in the finite horizon linear quadratic dual control problem
Andrea Iannelli, Mohammad Khosravi, Roy S. Smith
This paper presents a novel approach to synthesize dual controllers for unknown linear time-invariant systems with the tasks of optimizing a quadratic cost while reducing the uncer…