10 citations · 20 across the 8 of their papers we have counts for
9 papers
A convex data-driven approach for nonlinear control synthesis
Hyungjin Choi, Umesh Vaidya, Yongxin Chen
We consider a class of nonlinear control synthesis problems where the underlying mathematical models are not explicitly known. We propose a data-driven approach to stabilize the sy…
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems
Amarsagar Reddy Ramapuram Matavalam, Umesh Vaidya, Venkataramana Ajjarapu
In this paper, we propose a data-driven approach for uncertainty propagation and reachability analysis in a dynamical system. The proposed approach relies on the linear lifting of…
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
In this paper we develop the concept of information transfer between the Borel-measurable sets for a dynamical system described by a measurable space and a non-singular transformat…
Data-Driven Nonlinear Stabilization Using Koopman Operator
Bowen Huang, Xu Ma, Umesh Vaidya
We propose the application of Koopman operator theory for the design of stabilizing feedback controller for a nonlinear control system. The proposed approach is data-driven and rel…
On Computation of Koopman Operator from Sparse Data
Subhrajit Sinha, Enoch Yeung
In this paper we propose a novel approach to compute the Koopman operator from sparse time series data. In recent years there has been considerable interests in operator theoretic…
Particle Clustering Machine: A Dynamical System Based Approach
Sambarta Dasgupta, Keivan Ebrahimi, Umesh Vaidya
Identification of the clusters from an unlabeled data set is one of the most important problems in Unsupervised Machine Learning. The state of the art clustering algorithms are bas…