Annika Eichler

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Eichler

First Name

Annika

ORCID

0000-0003-3282-3135

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Publications 1 - 10 of 27

Distributed Model Predictive Control for Linear Systems With Adaptive Terminal Sets
Darivianakis, Georgios; Eichler, Annika; Lygeros, John (2020)
IEEE Transactions on Automatic Control
We propose a distributed model predictive control scheme for linear time-invariant constrained systems that admit a separable structure. To exploit the merits of distributed computation algorithms, the terminal cost and invariant terminal set of the optimal control problem need to respect the coupling structure of the system. Existing methods to address this issue typically separate the synthesis of terminal controllers and costs from the one of terminal sets, and do not explicitly consider the effect of the current and predicted system states on this synthesis process. These limitations can adversely affect performance due to small or even empty terminal sets. Here, we present a unified framework to encapsulate the synthesis of both the stabilizing terminal controller and invariant terminal set into the same optimization problem. Conditions for Lyapunov stability and invariance are imposed in the synthesis problem in a way that allows the terminal cost and invariant terminal set to admit the desired distributed structure. We illustrate the effectiveness of the proposed method on several numerical examples.
Optimal convergence speed of consensus under constrained damping for multi-agent systems with discrete-time double-integrator dynamics
Eichler, Annika; Werner, Herbert (2017)
Systems and Control Letters
Automated classification and identification procedure for prediction of energy consumption in multi-mode buildings
Khosravi, Mohammad; Eichler, Annika; Smith, Roy (2017)
Energy Procedia ~ CISBAT 2017 International Conference Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale
With an increasing share of renewable energy sources, largely decentralized, energy hubs are gaining relevance in the energy landscape as promising solutions because they match local production with consumption. To efficiently control an energy hub a prediction of the energy consumption of the buildings in the hub is required. This work proposes an on-line identification scheme to identify the closed-loop behavior of buildings as they are usually under unknown local lower-level control. Since buildings are typically controlled in different modes depending on the time of day (night setback), an identification of a switched system is proposed, combining a classification step to identify the switching times followed by the identification of a piecewise linear model for each mode. As a test case an operational Swiss office building is considered.
Humans-in-the-loop: A Game-Theoretic Perspective on Adaptive Building Energy Systems
Eichler, Annika; Darivianakis, Georgios; Lygeros, John (2018)
2018 European Control Conference (ECC)
Parameter Identification of Canalyzing and Nested Canalyzing Boolean Functions with Ternary Vectors for Gene Networks
Eichler, Annika; Lichtenberg, Gerwald (2018)
Advances in Intelligent Systems and Computing ~ Simulation and Modeling Methodologies, Technologies and Applications: International Conference, SIMULTECH 2016 Lisbon, Portugal, July 29-31, 2016, Revised Selected Papers
Parameter identification of canalyzing boolean functions with ternary vectors for gene networks
Eichler, Annika; Lichtenberg, Gerwald (2016)
SIMULTECH 2016: Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Scalability through decentralization: A robust control approach for the energy management of a building community
Darivianakis, Georgios; Georghiou, Angelos; Eichler, Annika; et al. (2017)
IFAC-PapersOnLine ~ 20th IFAC World Congress. Proceedings
Recent studies in the literature have shown that cooperative energy management of Abstract: Recent studies in the literature have shown that cooperative energy management of an aggregation of buildings may lead to substantial energy savings. These approaches typically assume the existence of a central operator that is capable of formulating and solving, within a reasonable amount of time, a centralized optimization problem. However, this requirement may be unrealizable in cases of large scale districts, and it also fails to address privacy concerns of the building occupants. In this paper, we deal with these issues by proposing a decentralized control scheme which only requires the individual buildings to communicate bounds on their energy demands. The proposed method partly alleviates concerns on privacy since this limited communication scheme does not reveal the exact characteristics of the energy usage within each building. In addition, it enables a distributed computation of the solution, making our method highly scalable. We demonstrate through a numerical study the efficacy of the proposed approach, which leads to solutions that closely approximate those obtained by the centralized formulation only at a fraction of the computational effort.
Modeling for optimal operation of PEM fuel cells and electrolyzers
Gabrielli, Paolo; Flamm, Ben; Eichler, Annika; et al. (2016)
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
Distributed Control Design for Heterogeneous Interconnected Systems
Stürz, Yvonne R.; Eichler, Annika; Smith, Roy (2021)
IEEE Transactions on Automatic Control
This paper presents scalable controller synthesis methods for heterogeneous and partially heterogeneous systems. First, heterogeneous systems composed of different subsystems that are interconnected over a directed graph are considered. Techniques from robust and gain-scheduled controller synthesis are employed, in particular the full-block S-procedure, to deal with the decentralized system part in a nominal condition and with the interconnection part in a multiplier condition. Under some structural assumptions, we can decompose the synthesis conditions into conditions that are the size of the individual subsystems. To solve these decomposed synthesis conditions that are coupled only over neighboring subsystems, we propose a distributed method based on the alternating direction method of multipliers. It only requires nearest-neighbor communication and no central coordination is needed. Then, a new classification of systems is introduced that consists of groups of homogeneous subsystems with different interconnection types. This classification includes heterogeneous systems as the most general and homogeneous systems as the most specific case. Based on this classification, we show how the interconnected system model and the decomposed synthesis conditions can be formulated in a more compact way. The computational scalability of the presented methods with respect to a growing number of subsystems and interconnections is analyzed, and the results are demonstrated in numerical examples.
Price arbitrage using variable-efficiency energy storage
Flamm, Benjamin; Eichler, Annika; Smith, Roy; et al. (2019)
Journal of Physics: Conference Series
Necessary conditions for conducting arbitrage on electricity spot market prices are presented for large-scale, generic energy storage devices, as a function of device power, conversion efficiency, and per-period operating costs. A mixed integer linear program (MILP) is formulated that uses piecewise-affine approximations of potentially nonlinear energy conversion efficiency to maximize arbitrage over a fixed period. By initially removing storage limit constraints, the optimal solution to the MILP is shown to be a threshold policy, with device operating power a monotonic function of price level. The initial assumption of no storage limits is then revisited. The objective is found to be relatively insensitive to device storage limits, provided the storage size is within an order of magnitude of the optimal storage size for the given problem data.

Publications 1 - 10 of 27

Annika Eichler

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