Controllability of twist maps. - Umesh Vaidya; Igor Mezic (ACC, 2002)

Control of Heisenberg spin systems; Lie algebraic decompositions and action-angle variables. - Umesh G. Vaidya; Domenico D'Alessandro; Igor Mezic (CDC, 2003)

Controllability for a class of discrete-time Hamiltonian systems. - Umesh Vaidya; Igor Mezic (CDC, 2003)

On Stochastic Analysis Approaches for Comparing Complex Systems. - Prashant G. Mehta; Umesh Vaidya (CDC/ECC, 2005)

Comparison of Systems using Diffusion Maps. - Umesh Vaidya; Gregory Hagen; Stéphane Lafon; Andrzej Banaszuk; Igor Mezic; Ronald R. Coifman (CDC/ECC, 2005)

Low order modeling, dynamics and control of an inert gas based fire protection system. - Thomas John; Igor Mezic; Umesh G. Vaidya; M. Lelic (ACC, 2006)

Control of Non-Equilibrium Dynamics in Communication Networks. - Tansu Alpcan; Prashant G. Mehta; Tamer Basar; Umesh Vaidya (CDC, 2006)

Computation of Lyapunov measure for almost everywhere stability. - Umesh Vaidya; Prashant G. Mehta (CDC, 2006)

Converse theorem for almost everywhere stability using Lyapunov measure. - Umesh Vaidya (ACC, 2007)

Connection between almost everywhere stability of an ODE and advection PDE. - Rajeev Rajaram; Umesh Vaidya; Makan Fardad (CDC, 2007)

Observability gramian for nonlinear systems. - Umesh Vaidya (CDC, 2007)

An approach for nonlinear model extraction from time-series data. - Gregory Hagen; Umesh Vaidya (ACC, 2008)

Optimal stabilization using Lyapunov measure. - Arvind U. Raghunathan; Umesh Vaidya (ACC, 2008)

Motion planning using navigation measure. - Umesh Vaidya; R. Bhattacharya (ACC, 2008)

Lyapunov measure and control of periodic orbit. - Amit Diwadkar; Umesh Vaidya; Arvind U. Raghunathan (EIT, 2008)

Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. - Prashant G. Mehta; Umesh Vaidya; Andrzej Banaszuk (IEEE Trans. Autom. Control., 2008)

Lyapunov Measure for Almost Everywhere Stability. - Umesh Vaidya; Prashant G. Mehta (IEEE Trans. Autom. Control., 2008)

Transfer operator method for control in fluid flows. - Umesh Vaidya; Baskar Ganapathysubramanian; Arvind U. Raghunathan (CDC, 2009)

Model reduction of nonlinear systems: Tangent space approach. - Umesh Vaidya; Gregory Hagen (ACC, 2010)

Nonlinear observation over erasure channel. - Amit Diwadkar; Umesh Vaidya (CDC, 2010)

Performance limitation in multi-agent estimation with limited sensor measurements. - Amit Diwadkar; Umesh Vaidya (CDC, 2010)

Limitations of nonlinear stabilization over erasure channels. - Umesh Vaidya; Nicola Elia (CDC, 2010)

Transfer operator approach for computing domain of attraction. - Kai Wang; Umesh Vaidya (CDC, 2010)

Nonlinear Stabilization via Control Lyapunov Measure. - Umesh Vaidya; Prashant G. Mehta; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2010)

Robust synchronization in nonlinear network with link failure uncertainty. - Amit Diwadkar; Umesh Vaidya (CDC/ECC, 2011)

Actuator and sensor placement in linear advection PDE. - Umesh Vaidya; Rajeev Rajaram; Sambarta Dasgupta (CDC/ECC, 2011)

Stabilization of system in Lure form over uncertain channels. - Amit Diwadkar; Sambarta Dasgupta; Umesh Vaidya (ACC, 2012)

Modeling and characterization of the impact of control surface free-play on flutter for an all moving surface. - Christopher E. Whitmer; Atul G. Kelkar; Jerald M. Vogel; Denny Chaussee; Christopher Ford; Umesh Vaidya (ACC, 2012)

Identification of critical interactions in uncertain network systems with complex dynamics. - Sambarta Dasgupta; Umesh Vaidya (CDC, 2012)

Stabilization of nonlinear systems over packet-drop links: Scalar case. - Umesh Vaidya; Nicola Elia (Syst. Control. Lett., 2012)

Optimal placement of actuators and sensors for control of nonequilibrium dynamics. - Subhrajit Sinha; Umesh Vaidya; Rajeev Rajaram (ECC, 2013)

On optimal sensor placement for mitigation of vulnerabilities to cyber attacks in large-scale networks. - Umesh Vaidya; Makan Fardad (ECC, 2013)

Robust stability analysis using Lyapunov density. - Rajeev Rajaram; Umesh Vaidya (Int. J. Control, 2013)

Limitations for Nonlinear Observation Over Erasure Channel. - Amit Diwadkar; Umesh Vaidya (IEEE Trans. Autom. Control., 2013)

Modeling and analysis of rotational freeplay nonlinearity of a 2D airfoil. - David Asjes; Amit Diwadkar; Umesh Vaidya; Atul G. Kelkar; Jerald M. Vogel; Denny Chaussee (ACC, 2014)

Further results on a class of nonlinear protocols in networked systems. - Hamid Emadi; Vaibhav Srivastava; Umesh Vaidya; Sourabh Bhattacharya (AuCC, 2014)

Vulnerability analysis of large-scale dynamical networks to coordinated attacks. - Sai Pushpak; Amit Diwadkar; Makan Fardad; Umesh Vaidya (AuCC, 2014)

Stochastic positive real lemma and synchronization over uncertain network. - Amit Diwadkar; Sambarta Dasgupta; Umesh Vaidya (CDC, 2014)

Synchronization in complex network system with uncertainty. - Amit Diwadkar; Umesh Vaidya (CDC, 2014)

On optimal link removals for controllability degradation in dynamical networks. - Makan Fardad; Amit Diwadkar; Umesh Vaidya (CDC, 2014)

Control of systems in Lure form over erasure channel. - Amit Diwadkar; Sambarta Dasgupta; Umesh Vaidya (CoRR, 2014)

Limitations and tradeoffs in synchronization of large-scale networks with uncertain links. - Amit Diwadkar; Umesh Vaidya (CoRR, 2014)

Optimal Stabilization Using Lyapunov Measures. - Arvind U. Raghunathan; Umesh Vaidya (IEEE Trans. Autom. Control., 2014)

Spectral diffusion map approach for structural health monitoring of wind turbine blades. - Venkatesh Chinde; Liang Cao; Umesh Vaidya; Simon Laflamme (ACC, 2015)

Stochastic stability analysis of discrete-time system using Lyapunov measure. - Umesh Vaidya (ACC, 2015)

Stability analysis and controller synthesis for continuous-time linear stochastic systems. - Sai Pushpak; Amit Diwadkar; Umesh Vaidya (CDC, 2015)

Formalism for information transfer in dynamical network. - Subhrajit Sinha; Umesh Vaidya (CDC, 2015)

Computation of the Lyapunov measure for almost everywhere stochastic stability. - Umesh Vaidya; Venkatesh Chinde (CDC, 2015)

Vulnerability analysis of dynamical power networks to stochastic link failure attacks. - Sai Pushpak; Amit Diwadkar; Umesh Vaidya (HSCC, 2015)

Control of inter-area oscillation with noise corrupted wide area measurement. - Sai Pushpak; Umesh Vaidya (ACC, 2016)

Information-based measure for influence characterization in dynamical systems with applications. - Umesh Vaidya; Subhrajit Sinha (ACC, 2016)

Data driven exploration of traffic network system dynamics using high resolution probe data. - Chao Liu 028; Bowen Huang; Mo Zhao; Soumik Sarkar; Umesh Vaidya; Anuj Sharma (CDC, 2016)

Causality preserving information transfer measure for control dynamical system. - Subhrajit Sinha; Umesh Vaidya (CDC, 2016)

Mean Square Stability Analysis and Synthesis of Stochastic Continuous-time Linear Networked Systems. - Sai Pushpak; Amit Diwadkar; Umesh Vaidya (CoRR, 2016)

Transfer operator-based approach for optimal stabilization of stochastic systems. - Apurba Kumar Das; Arvind U. Raghunathan; Umesh Vaidya (ACC, 2017)

Dynamical system based approach to distributed particle vector machine. - Sambarta Dasgupta; Umesh Vaidya (ACC, 2017)

Fragility of decentralized load-side frequency control in stochastic environment. - Sai Pushpak; Umesh Vaidya (ACC, 2017)

Identifying causal interaction in power system: Information-based approach. - Subhrajit Sinha; Pranav Sharma; Umesh Vaidya; Venkataramana Ajjarapu (CDC, 2017)

Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. - Apurba Kumar Das; Arvind U. Raghunathan; Umesh Vaidya (CoRR, 2017)

Data-Driven Approximation of Transfer Operators: Naturally Structured Dynamic Mode Decomposition. - Bowen Huang; Umesh Vaidya (ACC, 2018)

Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. - Himanshu Sharma; Anthony D. Fontanini; Umesh Vaidya; Baskar Ganapathysubramanian (ACC, 2018)

Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems. - Subhrajit Sinha; Bowen Huang; Umesh Vaidya (ACC, 2018)

Data-Driven Approach for Inferencing Causality and Network Topology. - Subhrajit Sinha; Umesh Vaidya (ACC, 2018)

The Primal-Dual Gradient Method for Non-Convex Robust Optimization with an Application to the Robust AC-OPF. - Xu Ma 002; Umesh Vaidya; Nicola Elia (CDC, 2018)

Data-Driven Optimal Control Using Transfer Operators. - Apurba Kumar Das; Bowen Huang; Umesh Vaidya (CDC, 2018)

Feedback Stabilization Using Koopman Operator. - Bowen Huang; Xu Ma 002; Umesh Vaidya (CDC, 2018)

Particle Clustering Machine: A Dynamical System Based Approach. - Sambarta Dasgupta; Keivan Ebrahimi; Umesh Vaidya (CoRR, 2018)

Data-Driven Optimal Control Using Perron-Frobenius Operator. - Apurba Kumar Das; Bowen Huang; Umesh Vaidya (CoRR, 2018)

On Information Transfer Based Characterization of Power System Stability. - Subhrajit Sinha; Pranav Sharma; Umesh Vaidya; Venkataramana Ajjarapu (CoRR, 2018)

A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty. - Himanshu Sharma; Umesh Vaidya; Baskar Ganapathysubramanian (CoRR, 2018)

Optimal motion planning using navigation measure. - Umesh Vaidya (Int. J. Control, 2018)

Mean Square Stability Analysis of Stochastic Continuous-Time Linear Networked Systems. - Sai Pushpak Nandanoori; Amit Diwadkar; Umesh Vaidya (IEEE Trans. Autom. Control., 2018)

Optimal Quadratic Regulation of Nonlinear System Using Koopman Operator. - Xu Ma 002; Bowen Huang; Umesh Vaidya (ACC, 2019)

Optimal Voltage Regulation of Distribution System with Renewable Uncertainty. - Xu Ma 002; Ankit Singhal; Umesh Vaidya; Nicola Elia; Venkataramana Ajjarapu (ACC, 2019)

Sample Complexity for Nonlinear Stochastic Dynamics. - Yongxin Chen; Umesh Vaidya (ACC, 2019)

Transfer Operator Based Approach for Estimating After Release Contaminant Distribution in Indoor Environment. - Himanshu Sharma; Umesh Vaidya; Baskar Ganapathysubramanian (ACC, 2019)

On Computation of Koopman Operator from Sparse Data. - Subhrajit Sinha; Umesh Vaidya; Enoch Yeung (ACC, 2019)

Robust Optimization via Discrete-Time Saddle Point Algorithm. - Keivan Ebrahimi; Umesh Vaidya; Nicola Elia (CDC, 2019)

A Continuous Time Dynamical System Approach for Solving Robust Optimization. - Keivan Ebrahimi; Nicola Elia; Umesh Vaidya (ECC, 2019)

Synchronization in large-scale nonlinear network systems with uncertain links. - Amit Diwadkar; Umesh Vaidya (Autom., 2019)

Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators. - Pranav Sharma; Bowen Huang; Umesh Vaidya; Venkataramana Ajjarapu (CoRR, 2019)

Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. - Subhrajit Sinha; Umesh Vaidya; Enoch Yeung (CoRR, 2019)

A Saddle-Point Dynamical System Approach for Robust Deep Learning. - Yasaman Esfandiari; Keivan Ebrahimi; Aditya Balu; Nicola Elia; Umesh Vaidya; Soumik Sarkar (CoRR, 2019)

Information Based Data-Driven Characterization of Stability and Influence in Power Systems. - Subhrajit Sinha; Pranav Sharma; Venkataramana Ajjarapu; Umesh Vaidya (CoRR, 2019)

Sequential Set-Point Control for Heterogeneous Thermostatically Controlled Loads Through an Extended Markov Chain Abstraction. - Ashraf Radaideh; Umesh Vaidya; Venkataramana Ajjarapu (IEEE Trans. Smart Grid, 2019)

Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems. - Amarsagar Reddy Ramapuram Matavalam; Umesh Vaidya; Venkataramana Ajjarapu (ACC, 2020)

Deep Learning of Koopman Representation for Control. - Yiqiang Han; Wenjian Hao; Umesh Vaidya (CDC, 2020)

A convex data-driven approach for nonlinear control synthesis. - Hyungjin Choi; Umesh Vaidya; Yongxin Chen (CoRR, 2020)

On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems. - Subhrajit Sinha; Bowen Huang; Umesh Vaidya (J. Nonlinear Sci., 2020)

On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems. - Subhrajit Sinha; Umesh Vaidya (J. Nonlinear Sci., 2020)

Sparse Learning of Kernel Transfer Operators. - Boya Hou; Subhonmesh Bose; Umesh Vaidya (ACSCC, 2021)

A Convex Approach to Stochastic Optimal Control Using Linear Operators. - Umesh Vaidya; Bowen Huang (ACC, 2021)

Convex Optimal Control Synthesis Under Safety Constraints. - Hongzhe Yu; Joseph Moyalan; Duvan Tellez-Castro; Umesh Vaidya; Yongxin Chen (CDC, 2021)

Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation. - S. Shaho Alaviani; Atul G. Kelkar; Umesh Vaidya (MED, 2021)

Sum of Squares based Convex Approach for Optimal Control Synthesis. - Joseph Moyalan; Hyungjin Choi; Yongxin Chen; Umesh Vaidya (MED, 2021)

Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees. - Sai Pushpak Nandanoori; Soumya Kundu; Jianming Lian; Umesh Vaidya; Draguna L. Vrabie; Karanjit Kalsi (CoRR, 2021)

Data-driven Identification of Nonlinear Power System Dynamics Using Output-only Measurements. - Pranav Sharma; Venkataramana Ajjarapu; Umesh Vaidya (CoRR, 2021)

Information-Theoretic Approach for Model Reduction Over Finite Time Horizon. - Punit Tulpule; Umesh Vaidya (CoRR, 2021)

Non-Smooth Projected Primal-Dual Dynamical Approach to Solve the Extended Fermat-Torricelli Problem. - Rejitha Raveendran; Arun D. Mahindrakar; Umesh Vaidya (IEEE Control. Syst. Lett., 2021)

A fast saddle-point dynamical system approach to robust deep learning. - Yasaman Esfandiari; Aditya Balu; Keivan Ebrahimi; Umesh Vaidya; Nicola Elia; Soumik Sarkar (Neural Networks, 2021)

A Distributed Second-Order Gradient Continuous-Time Algorithm for Resource Allocation. - Seyyed Shaho Alaviani; Atul G. Kelkar; Umesh Vaidya (ACC, 2022)

A Fully Parallel Distributed Algorithm for Non-Smooth Convex Optimization with Coupled Constraints: Application to Linear Algebraic Equations. - Seyyed Shaho Alaviani; Atul G. Kelkar; Umesh Vaidya (ACC, 2022)

Koopman-based Policy Iteration for Robust Optimal Control. - Alexander Krolicki; Sarang Sutavani; Umesh Vaidya (ACC, 2022)

Navigation with Probabilistic Safety Constraints: A Convex Formulation. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (ACC, 2022)

Fixed-Time Dynamical System Approach for Solving Time-Varying Convex Optimization Problems. - Rejitha Raveendran; Arun D. Mahindrakar; Umesh Vaidya (ACC, 2022)

Nonlinear Dual-Mode Model Predictive Control using Koopman Eigenfunctions. - Alexander Krolicki; Duvan Tellez-Castro; Umesh Vaidya (CDC, 2022)

Spectral Analysis of Koopman Operator and Nonlinear Optimal Control. - Umesh Vaidya (CDC, 2022)

Data-Driven Stochastic Optimal Control using Linear Transfer Operators. - Umesh Vaidya; Duvan Tellez-Castro (CoRR, 2022)

Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (CoRR, 2022)

Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints. - Hongzhe Yu; Joseph Moyalan; Umesh Vaidya; Yongxin Chen (IEEE Control. Syst. Lett., 2022)

A Convex Approach to Data-Driven Optimal Control via Perron-Frobenius and Koopman Operators. - Bowen Huang; Umesh Vaidya (IEEE Trans. Autom. Control., 2022)

Small-Gain Theorem and ℒ2-gain Computation in Large using Koopman Spectrum. - Sarang Sutavani; Bhagyashree Umathe; Umesh Vaidya (ACC, 2023)

Path-Integral Formula for Computing Koopman Eigenfunctions. - Shankar A. Deka; Sriram S. K. S. Narayanan; Umesh Vaidya (CDC, 2023)

Navigation in Time-Varying Densities: An Operator Theoretic Approach. - Shankar A. Deka; Umesh Vaidya; Dimos V. Dimarogonas (ECC, 2023)

Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. - Boya Hou; Sina Sanjari; Nathan Dahlin; Subhonmesh Bose; Umesh Vaidya (ICML, 2023)

Data-driven optimal control under safety constraints using sparse Koopman approximation. - Hongzhe Yu; Joseph Moyalan; Umesh Vaidya; Yongxin Chen (ICRA, 2023)

Data-Driven Modeling and Experimental Validation of Autonomous Vehicles Using Koopman Operator: Distribution A: Approved for Public Release; Distribution Unlimited. OPSEC # 7248. - Ajinkya Joglekar; Sarang Sutavani; Chinmay Vilas Samak; Tanmay Vilas Samak; Krishna Chaitanya Kosaraju; Jonathon M. Smereka; David J. Gorsich; Umesh Vaidya; Venkat Krovi (IROS, 2023)

Off-Road Navigation of Legged Robots Using Linear Transfer Operators. - Joseph Moyalan; Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (CoRR, 2023)

SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs. - Sriram S. K. S. Narayanan; Duvan Tellez-Castro; Sarang Sutavani; Umesh Vaidya (CoRR, 2023)

Safety using Analytically Constructed Density Functions. - Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (CoRR, 2023)

Safe Motion Planning for Quadruped Robots Using Density Functions. - Sriram S. K. S. Narayanan; Andrew Zheng; Umesh Vaidya (CoRR, 2023)

Reachability Analysis Using Spectrum of Koopman Operator. - Bhagyashree Umathe; Duvan Tellez-Castro; Umesh Vaidya (IEEE Control. Syst. Lett., 2023)

Data-driven optimal control via linear transfer operators: A convex approach. - Joseph Moyalan; Hyungjin Choi; Yongxin Chen; Umesh Vaidya (Autom., 2023)

Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators. - Joseph Moyalan; Yongxin Chen; Umesh Vaidya (IEEE Robotics Autom. Lett., 2023)

Safe Navigation Using Density Functions. - Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (IEEE Robotics Autom. Lett., 2023)

Synthesizing Controller for Safe Navigation Using Control Density Function. - Joseph Moyalan; Sriram S. K. S. Narayanan; Andrew Zheng; Umesh Vaidya (ACC, 2024)

Extensions of the Path-integral formula for computation of Koopman eigenfunctions. - Shankar A. Deka; Umesh Vaidya (CDC, 2024)

Control Density Function for Robust Safety and Convergence. - Joseph Moyalan; Sriram S. K. S. Narayanan; Umesh Vaidya (CoRR, 2024)

Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy. - Chinmay Vilas Samak; Tanmay Vilas Samak; Ajinkya Joglekar; Umesh Vaidya; Venkat Krovi (CoRR, 2024)

Safe Navigation in Dynamic Environments using Density Functions. - Sriram S. K. S. Narayanan; Joseph Moyalan; Umesh Vaidya (CoRR, 2024)

Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator. - Jonghyeon Lee; Boumediene Hamzi; Boya Hou; Houman Owhadi; Gabriele Santin; Umesh Vaidya (CoRR, 2024)

Performance-Oriented Data-Driven Control: Fusing Koopman Operator and MPC-Based Reinforcement Learning. - Hossein Nejatbakhsh Esfahani; Umesh Vaidya; Javad Mohammadpour Velni (IEEE Control. Syst. Lett., 2024)

Spectral Koopman Method for Identifying Stability Boundary. - Bhagyashree Umathe; Umesh Vaidya (IEEE Control. Syst. Lett., 2024)

Data-Driven Stochastic Optimal Control With Safety Constraints Using Linear Transfer Operators. - Umesh Vaidya; Duvan Tellez-Castro (IEEE Trans. Autom. Control., 2024)

Dynamical System Approach for Time-Varying Constrained Convex Optimization Problems. - Rejitha Raveendran; Arun D. Mahindrakar; Umesh Vaidya (IEEE Trans. Autom. Control., 2024)

Density Functions for Dynamic Safe Navigation of Robotic Systems. - Sriram S. K. S. Narayanan; Joseph Moyalan; Andrew Zheng; Umesh Vaidya (ACC, 2025)

On Characterization and Computation of Almost Everywhere Domain of Attraction. - Subhrajit Sinha; Sai Pushpak Nandanoori; Soumya Kundu; Umesh Vaidya (ACC, 2025)

Continuous-Time Heavy-Ball Gradient Method: Safety, Stability and Robustness. - Karthik Shenoy; Arun D. Mahindrakar; Umesh Vaidya (IEEE Control. Syst. Lett., 2025)

Functional control of network dynamical systems: An information theoretic approach. - Moirangthem Sailash Singh; Ramkrishna Pasumarthy; Umesh Vaidya; Steffen Leonhardt (Inf. Sci., 2025)