1 citations · 2 across the 14 of their papers we have counts for
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Stochastic Sequential Feedback Optimization for Wind Farm Control under Time-Varying Inflow
Shijie Huang, Sergio Grammatico
We consider steady-state optimization of nonlinear dynamical systems under time-varying stochastic operating conditions, where the objective is an expected-value function over the…
Learning in Inverse Games: Tractable Training with Probabilistic Guarantees
Arghya Mallick, Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani +1
Inverse game theory seeks to learn agents' unknown objectives from observed equilibrium behavior. Existing residual-based approaches can lead to non-convex problems and need not en…
Hybrid Sequential Feedback Optimization for Wind Farm Power Maximization
Shijie Huang, Sergio Grammatico
This paper considers feedback optimization for optimal steady-state operation of nonlinear discrete-time systems when the steady-state input-output map and its sensitivity are expe…
Adaptive Incentive Design in Dynamic Principal-Agent Problem via Kernelized Bandits
Arghya Mallick, Anuj S. Vora, Sergio Grammatico +1
We consider the dynamic principal-agent problem under asymmetric information, wherein a principal sequentially designs contracts to incentivize an agent with unknown preferences an…
Benchmarking Sequential Feedback Optimization for Wind Farm Power Maximization
Shijie Huang, Sergio Grammatico
This paper benchmarks sequential feedback optimization (SFO) for wind farm power maximization using a medium-fidelity dynamic flow model. We compare SFO with two well-established a…
Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing
Reza Rahimi Baghbadorani, Sergio Grammatico
We consider constrained linear-quadratic dynamic games arising in autonomous vehicle platooning, intersection crossing and other cooperative driving scenarios. Infinite-horizon Nas…
Learning-Based Stackelberg Equilibrium Seeking with Application to Demand-Side Energy Management
Silvia Cianchi, Reza Rahimi Baghbadorani, Anibal Sanjab +1
Demand-side management (DSM) enables distribution system operators (DSOs) to steer electricity consumption through dynamic price signals or incentive mechanisms, thereby leveraging…
Induced Stackelberg Equilibrium Seeking via Iterative Tikhonov Regularization
Silvia Cianchi, Anibal Sanjab, Sergio Grammatico
Existing methods for learning Stackelberg equilibria typically assume that the followers' (variational, generalized) Nash equilibrium is unique. However, in the presence of multipl…
A Hybrid Algorithm for Monotone Variational Inequalities
Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
Inspired by the adaptive Golden Ratio Algorithm (aGRAAL), we propose two new methods for solving monotone variational inequalities. We show that by selecting the momentum parameter…