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Found 12 papers, 1 papers with code
Meta results on data-driven control of nonlinear systems
This note aims to provide a systematic understanding of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering a comprehensive, versatile, and unifying framework that sets the stage for future explorations and applications in this domain.
Optimal Bidding Strategies in Network-Constrained Demand Response: A Distributed Aggregative Game Theoretic Approach
In this study, we consider a demand response scheme within a distribution network facing an energy supply deficit.
Controller synthesis for input-state data with measurement errors
We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data.
Controller Synthesis from Noisy-Input Noisy-Output Data
We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise.
Privacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge
In addition, while we prove that outsourcing the MPC problem in the dense form inherently leads to some degree of privacy for the system and cost function parameters, we also establish that affine transformations applied to this form are nevertheless prone to be undermined by a Cloud with mild side-knowledge.
Data-driven control of nonlinear systems from input-output data
The design of controllers from data for nonlinear systems is a challenging problem.
Secure and Efficient Flexibility Service Procurement: A Game-Theoretic Approach
Procuring flexibility services from energy consumers has been a potential solution to accommodating renewable generations in future power system.
Gaussian Mechanism Design for Prescribed Privacy Sets in Data Releasing Systems
The data transmitted by cyber-physical systems can be intercepted and exploited by malicious individuals to infer privacy-sensitive information regarding the physical system.
Data-based Transfer Stabilization in Linear Systems
For each case, by leveraging the data collected from the source system and a priori knowledge on the maximum distance of the two systems, we find a suitable, and relatively small, compact set of systems that contains the actual target system, and then provide a controller that stabilizes the compact set.
PID passivity-based droop control of power converters: Large-signal stability, robustness and performance
We present a full review of PID passivity-based controllers (PBC) applied to power electronic converters, discussing limitations, unprecedented merits and potential improvements in terms of large-signal stability, robustness and performance.
Steering the aggregative behavior of noncooperative agents: a nudge framework
This paper considers the problem of steering the aggregative behavior of a population of noncooperative price-taking agents towards a desired behavior.
Optimization and Control Systems and Control Systems and Control
Exponential Stability and Tuning for a Class of Mechanical Systems
In this paper, we prove the exponential stability property of a class of mechanical systems represented in the port-Hamiltonian framework.
