Search
Results
-
Bad-Data-Resilient Dynamic State Estimation for Power Systems with Partially Known Models
(2023)2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)State estimation plays a crucial role in smart grids as it provides valuable insights into the grid’s operating state. This paper proposes dynamic state estimation techniques to detect measurement outliers and cyber attacks against phasor measurement units. Specifically, we formulate a recursive optimal state estimator for power systems modeled by nonlinear, underdetermined differential algebraic systems and suggest a residual-based scheme ...Conference Paper -
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements
(2023)IFAC-PapersOnLine ~ 22nd IFAC World CongressThe tuning of fused filament fabrication parameters is notoriously challenging. We propose an autonomous data-driven method to select parameters based on in situ measurements. We use a laser sensor to evaluate the surface roughness of a printed part. We then correlate the roughness to the mechanical properties of the part, and show how print quality affects mechanical performance. Finally we use Bayesian optimization to search for optimal ...Conference Paper -
Inexact GMRES Policy Iteration for Large-Scale Markov Decision Processes
(2023)IFAC-PapersOnLine ~ 22nd IFAC World CongressPolicy iteration enjoys a local quadratic rate of contraction, but its iterations are computationally expensive for Markov decision processes (MDPs) with a large number of states. In light of the connection between policy iteration and the semismooth Newton method and taking inspiration from the inexact variants of the latter, we propose inexact policy iteration, a new class of methods for large-scale finite MDPs with local contraction ...Conference Paper -
Designing fairness in autonomous peer-to-peer energy trading
(2023)IFAC-PapersOnLineSeveral autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory. In this paper, we study the impact of trading prices on the outcome of these market designs for energy-hub networks. We prove that, for a generic choice of trading prices, autonomous peer-to-peer trading is always network-wide beneficial but not necessarily individually ...Conference Paper -
Probabilistic Reachability and Invariance Computation of Stochastic Systems using Linear Programming
(2023)IFAC-PapersOnLine ~ 22nd IFAC World CongressWe consider the safety evaluation of discrete time, stochastic systems over a finite horizon. Therefore, we discuss and link probabilistic invariance with reachability as well as reach-avoid problems. We show how to efficiently compute these quantities using dynamic and linear programming.Conference Paper -
Degradation-aware data-enabled predictive control of energy hubs
(2023)Journal of Physics: Conference Series ~ CISBAT International Conference 2023: Predictive & Adaptive ControlMitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems. Augmenting building energy systems with batteries can improve the energy use of a building, while posing the challenge of considering battery degradation during control operation. We demonstrate the performance of a data-enabled predictive control (DeePC) approach applied to a single ...Conference Paper -
Experimental Validation for Distributed Control of Energy Hubs
(2023)Journal of Physics: Conference Series ~ CISBAT International Conference 2023: Regenerative PlanningAs future energy systems become more decentralised due to the integration of renewable energy resources and storage technologies, several autonomous energy management and peer-to-peer trading mechanisms have been recently proposed for the operation of energy hub networks based on optimization and game theory. However, most of these strategies have been tested either only in simulated environments or small prosumer units as opposed to ...Conference Paper -
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking
(2023)2023 European Control Conference (ECC)We consider generalized Nash equilibrium problems (GNEPs) with linear coupling constraints affected by both local (i.e., agent-wise) and global (i.e., shared resources) disturbances taking values in polyhedral uncertainty sets. By making use of traditional tools borrowed from robust optimization, for this class of problems we derive a tractable, finite-dimensional reformulation leading to a deterministic “extended game”, and we show that ...Conference Paper -
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems
(2023)2023 IEEE Conference on Control Technology and Applications (CCTA)Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on linear systems, real-world problems involve nonlinear dynamics. In this work, we propose an algorithm for the nonlinear iterative learning control problem based on sequential quadratic programming, a well-studied method for nonconvex optimization. We repeatedly ...Conference Paper -
On the effect of capacity drops in highways with service stations
(2023)2023 31st Mediterranean Conference on Control and Automation (MED)This paper studies the capacity drops phenomena on a macroscopic, first-order model for freeway traffic. In particular, we focus on the effect that a Service Station (ST) has on the mainstream traffic evolution. We propose a modified formulation of the Cell Transmission Model with service station (CTM-s) that considers this important phenomenon, and use a micro-simulation based on Aimsun Next to identify the model parameters via a structured ...Conference Paper