Umesh Vaidya

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 91

Top Venues

CoRR

ACC

CDC

IEEE Trans. Autom. Control.

Publications

Bhagyashree Umathe, Umesh Vaidya
Spectral Koopman Method for Identifying Stability Boundary. IEEE Control. Syst. Lett. 8 (2024)
Joseph Moyalan, Sriram S. K. S. Narayanan, Umesh Vaidya
Control Density Function for Robust Safety and Convergence. CoRR (2024)
Joseph Moyalan, Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya
Synthesizing Controller for Safe Navigation using Control Density Function. CoRR (2024)
Umesh Vaidya, Duvan Tellez-Castro
Data-Driven Stochastic Optimal Control With Safety Constraints Using Linear Transfer Operators. IEEE Trans. Autom. Control. 69 (4) (2024)
Rejitha Raveendran, Arun D. Mahindrakar, Umesh Vaidya
Dynamical System Approach for Time-Varying Constrained Convex Optimization Problems. IEEE Trans. Autom. Control. 69 (6) (2024)
Ajinkya Joglekar, Sarang Sutavani, Chinmay Vilas Samak, Tanmay Vilas Samak, Krishna Chaitanya Kosaraju, Jonathon M. Smereka, David J. Gorsich, Umesh Vaidya, Venkat Krovi
Data-Driven Modeling and Experimental Validation of Autonomous Vehicles Using Koopman Operator: Distribution A: Approved for Public Release; Distribution Unlimited. OPSEC # 7248. IROS (2023)
Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya
Safe Motion Planning for Quadruped Robots Using Density Functions. CoRR (2023)
Sriram S. K. S. Narayanan, Duvan Tellez-Castro, Sarang Sutavani, Umesh Vaidya
SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs. CoRR (2023)
Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. ICML (2023)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators. IEEE Robotics Autom. Lett. 8 (6) (2023)
Sarang Sutavani, Bhagyashree Umathe, Umesh Vaidya
Small-Gain Theorem and ℒ2-gain Computation in Large using Koopman Spectrum. ACC (2023)
Shankar A. Deka, Umesh Vaidya, Dimos V. Dimarogonas
Navigation in Time-Varying Densities: An Operator Theoretic Approach. ECC (2023)
Joseph Moyalan, Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
Off-Road Navigation of Legged Robots Using Linear Transfer Operators. CoRR (2023)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-driven optimal control under safety constraints using sparse Koopman approximation. ICRA (2023)
Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
Safe Navigation Using Density Functions. IEEE Robotics Autom. Lett. 8 (12) (2023)
Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
Safety using Analytically Constructed Density Functions. CoRR (2023)
Shankar A. Deka, Sriram S. K. S. Narayanan, Umesh Vaidya
Path-Integral Formula for Computing Koopman Eigenfunctions. CDC (2023)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-driven optimal control under safety constraints using sparse Koopman approximation. CoRR (2023)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Data-driven optimal control via linear transfer operators: A convex approach. Autom. 150 (2023)
Bhagyashree Umathe, Umesh Vaidya
Spectral Koopman Method for Identifying Stability Boundary. CoRR (2023)
Bhagyashree Umathe, Duvan Tellez-Castro, Umesh Vaidya
Reachability Analysis Using Spectrum of Koopman Operator. IEEE Control. Syst. Lett. 7 (2023)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators. CoRR (2022)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Data-Driven Optimal Control via Linear Transfer Operators: A Convex Approach. CoRR (2022)
Rejitha Raveendran, Arun D. Mahindrakar, Umesh Vaidya
Fixed-Time Dynamical System Approach for Solving Time-Varying Convex Optimization Problems. ACC (2022)
Umesh Vaidya
Spectral Analysis of Koopman Operator and Nonlinear Optimal Control. CDC (2022)
Seyyed Shaho Alaviani, Atul G. Kelkar, Umesh Vaidya
A Distributed Second-Order Gradient Continuous-Time Algorithm for Resource Allocation. ACC (2022)
Joseph Moyalan, Yongxin Chen, Umesh Vaidya
Navigation with Probabilistic Safety Constraints: A Convex Formulation. ACC (2022)
Seyyed Shaho Alaviani, Atul Gajanan Kelkar, Umesh Vaidya
Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation. CoRR (2022)
Alexander Krolicki, Sarang Sutavani, Umesh Vaidya
Koopman-based Policy Iteration for Robust Optimal Control. CoRR (2022)
Alexander Krolicki, Sarang Sutavani, Umesh Vaidya
Koopman-based Policy Iteration for Robust Optimal Control. ACC (2022)
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints. IEEE Control. Syst. Lett. 6 (2022)
Umesh Vaidya, Duvan Tellez-Castro
Data-Driven Stochastic Optimal Control using Linear Transfer Operators. CoRR (2022)
Alexander Krolicki, Duvan Tellez-Castro, Umesh Vaidya
Nonlinear Dual-Mode Model Predictive Control using Koopman Eigenfunctions. CDC (2022)
Seyyed Shaho Alaviani, Atul G. Kelkar, Umesh Vaidya
A Fully Parallel Distributed Algorithm for Non-Smooth Convex Optimization with Coupled Constraints: Application to Linear Algebraic Equations. ACC (2022)
Bowen Huang, Umesh Vaidya
A Convex Approach to Data-Driven Optimal Control via Perron-Frobenius and Koopman Operators. IEEE Trans. Autom. Control. 67 (9) (2022)
Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian, Umesh Vaidya, Draguna L. Vrabie, Karanjit Kalsi
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees. CoRR (2021)
Joseph Moyalan, Hyungjin Choi, Yongxin Chen, Umesh Vaidya
Sum of Squares based Convex Approach for Optimal Control Synthesis. MED (2021)
Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar
A fast saddle-point dynamical system approach to robust deep learning. Neural Networks 139 (2021)
Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya
Data-driven Identification of Nonlinear Power System Dynamics Using Output-only Measurements. CoRR (2021)
Hongzhe Yu, Joseph Moyalan, Duvan Tellez-Castro, Umesh Vaidya, Yongxin Chen
Convex Optimal Control Synthesis Under Safety Constraints. CDC (2021)
Rejitha Raveendran, Arun D. Mahindrakar, Umesh Vaidya
Non-Smooth Projected Primal-Dual Dynamical Approach to Solve the Extended Fermat-Torricelli Problem. IEEE Control. Syst. Lett. 5 (3) (2021)
Umesh Vaidya, Bowen Huang
A Convex Approach to Stochastic Optimal Control Using Linear Operators. ACC (2021)
S. Sh. Alaviani, Atul G. Kelkar, Umesh Vaidya
Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation. MED (2021)
Punit Tulpule, Umesh Vaidya
Information-Theoretic Approach for Model Reduction Over Finite Time Horizon. CoRR (2021)
Boya Hou, Subhonmesh Bose, Umesh Vaidya
Sparse Learning of Kernel Transfer Operators. ACSCC (2021)
Amarsagar Reddy Ramapuram Matavalam, Umesh Vaidya, Venkataramana Ajjarapu
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems. ACC (2020)
Hyungjin Choi, Umesh Vaidya, Yongxin Chen
A convex data-driven approach for nonlinear control synthesis. CoRR (2020)
Subhrajit Sinha, Umesh Vaidya
On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems. J. Nonlinear Sci. 30 (4) (2020)
Bowen Huang, Umesh Vaidya
A Convex Approach to Data-driven Optimal Control via Perron-Frobenius and Koopman Operators. CoRR (2020)
Amarsagar Reddy Ramapuram Matavalam, Umesh Vaidya, Venkataramana Ajjarapu
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems. CoRR (2020)
Subhrajit Sinha, Bowen Huang, Umesh Vaidya
On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems. J. Nonlinear Sci. 30 (5) (2020)
Yiqiang Han, Wenjian Hao, Umesh Vaidya
Deep Learning of Koopman Representation for Control. CoRR (2020)
Yiqiang Han, Wenjian Hao, Umesh Vaidya
Deep Learning of Koopman Representation for Control. CDC (2020)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. CoRR (2019)
Xu Ma, Bowen Huang, Umesh Vaidya
Optimal Quadratic Regulation of Nonlinear System Using Koopman Operator. ACC (2019)
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
On Computation of Koopman Operator from Sparse Data. ACC (2019)
Yongxin Chen, Umesh Vaidya
Sample Complexity for Nonlinear Stochastic Dynamics. ACC (2019)
Pranav Sharma, Bowen Huang, Umesh Vaidya, Venkataramana Ajjarapu
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators. CoRR (2019)
Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya
Information Based Data-Driven Characterization of Stability and Influence in Power Systems. CoRR (2019)
Keivan Ebrahimi, Umesh Vaidya, Nicola Elia
Robust Optimization via Discrete-Time Saddle Point Algorithm. CDC (2019)
Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Based Approach for Estimating After Release Contaminant Distribution in Indoor Environment. ACC (2019)
Xu Ma, Ankit Singhal, Umesh Vaidya, Nicola Elia, Venkataramana Ajjarapu
Optimal Voltage Regulation of Distribution System with Renewable Uncertainty. ACC (2019)
Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar
A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR (2019)
Keivan Ebrahimi, Nicola Elia, Umesh Vaidya
A Continuous Time Dynamical System Approach for Solving Robust Optimization. ECC (2019)
Ashraf Radaideh, Umesh Vaidya, Venkataramana Ajjarapu
Sequential Set-Point Control for Heterogeneous Thermostatically Controlled Loads Through an Extended Markov Chain Abstraction. IEEE Trans. Smart Grid 10 (1) (2019)
Amit Diwadkar, Umesh Vaidya
Synchronization in large-scale nonlinear network systems with uncertain links. Autom. 100 (2019)
Apurba Kumar Das, Bowen Huang, Umesh Vaidya
Data-Driven Optimal Control Using Perron-Frobenius Operator. CoRR (2018)
Bowen Huang, Umesh Vaidya
Data-Driven Approximation of Transfer Operators: Naturally Structured Dynamic Mode Decomposition. ACC (2018)
Xu Ma, Umesh Vaidya, Nicola Elia
The Primal-Dual Gradient Method for Non-Convex Robust Optimization with an Application to the Robust AC-OPF. CDC (2018)
Apurba Kumar Das, Bowen Huang, Umesh Vaidya
Data-Driven Optimal Control Using Transfer Operators. CDC (2018)
Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian
A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty. CoRR (2018)
Umesh Vaidya
Optimal motion planning using navigation measure. Int. J. Control 91 (5) (2018)
Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu
On Information Transfer Based Characterization of Power System Stability. CoRR (2018)
Subhrajit Sinha, Umesh Vaidya
Data-Driven Approach for Inferencing Causality and Network Topology. ACC (2018)
Bowen Huang, Xu Ma, Umesh Vaidya
Feedback Stabilization Using Koopman Operator. CDC (2018)
Sai Pushpak Nandanoori, Amit Diwadkar, Umesh Vaidya
Mean Square Stability Analysis of Stochastic Continuous-Time Linear Networked Systems. IEEE Trans. Autom. Control. 63 (12) (2018)
Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. ACC (2018)
Sambarta Dasgupta, Keivan Ebrahimi, Umesh Vaidya
Particle Clustering Machine: A Dynamical System Based Approach. CoRR (2018)
Subhrajit Sinha, Bowen Huang, Umesh Vaidya
Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems. ACC (2018)
Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. CoRR (2018)
Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu
Identifying causal interaction in power system: Information-based approach. CDC (2017)
Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
Transfer operator-based approach for optimal stabilization of stochastic systems. ACC (2017)
Sambarta Dasgupta, Umesh Vaidya
Dynamical system based approach to distributed particle vector machine. ACC (2017)
Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. CoRR (2017)
Sai Pushpak, Umesh Vaidya
Fragility of decentralized load-side frequency control in stochastic environment. ACC (2017)
Sai Pushpak, Umesh Vaidya
Fragility of Decentralized Load-Side Frequency Control in Stochastic Environment. CoRR (2017)
Subhrajit Sinha, Umesh Vaidya
Causality preserving information transfer measure for control dynamical system. CDC (2016)
Umesh Vaidya, Subhrajit Sinha
Information-based measure for influence characterization in dynamical systems with applications. ACC (2016)
Sai Pushpak, Umesh Vaidya
Control of inter-area oscillation with noise corrupted wide area measurement. ACC (2016)
Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma
Data driven exploration of traffic network system dynamics using high resolution probe data. CDC (2016)
Sai Pushpak, Amit Diwadkar, Umesh Vaidya
Mean Square Stability Analysis and Synthesis of Stochastic Continuous-time Linear Networked Systems. CoRR (2016)
Sai Pushpak, Amit Diwadkar, Umesh Vaidya
Vulnerability analysis of dynamical power networks to stochastic link failure attacks. HSCC (2015)
Sai Pushpak, Amit Diwadkar, Umesh Vaidya
Stability analysis and controller synthesis for continuous-time linear stochastic systems. CDC (2015)
Umesh Vaidya
Stochastic Stability Analysis of Discrete Time System Using Lyapunov Measure. CoRR (2015)
Umesh Vaidya
Stochastic stability analysis of discrete-time system using Lyapunov measure. ACC (2015)
Umesh Vaidya, Venkatesh Chinde
Computation of the Lyapunov measure for almost everywhere stochastic stability. CDC (2015)
Subhrajit Sinha, Umesh Vaidya
Formalism for information transfer in dynamical network. CDC (2015)
Venkatesh Chinde, Liang Cao, Umesh Vaidya, Simon Laflamme
Spectral diffusion map approach for structural health monitoring of wind turbine blades. ACC (2015)
Arvind U. Raghunathan, Umesh Vaidya
Optimal Stabilization using Lyapunov Measures. CoRR (2014)
Hamid Emadi, Vaibhav Srivastava, Umesh Vaidya, Sourabh Bhattacharya
Further results on a class of nonlinear protocols in networked systems. AuCC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Umesh Vaidya