Dynamic programming for scalable just-in-time economic dispatch with non-convex constraints and anytime participation

Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles

Variational Inequality and Distributed Learning for a Bidding Game in Electricity Supply Markets

Distributed Learning Algorithms and Lossless Convex Relaxation for Economic Dispatch with Transmission Losses and Capacity Limits

Standard representation and unified stability analysis for dynamic artificial neural network models

Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-Offs

Robust static and fixed-order dynamic output feedback control of discrete-time parametric uncertain Lure systems: Sequential SDP relaxation approaches

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks

Robustness analysis, prediction, and estimation for uncertain biochemical networks: An overview

Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures