Data-driven control: A behavioral approach [PDF]
Systems & Control Letters, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maupong, Thabiso, Rapisarda, Paolo
openaire +2 more sources
Data-Driven Tube-Based Stochastic Predictive Control
IEEE Open Journal of Control Systems, 2023 A powerful result from behavioral systems theory known as the fundamental lemma allows for predictive control akin to Model Predictive Control (MPC) for linear time-invariant (LTI) systems with unknown dynamics purely from data.
Sebastian Kerz +4 more
doaj +1 more source
Fault diagnosis and sustainable control of wind turbines: Robust data-driven and model-based strategies [PDF]
, 2018 Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model ...
FARSONI, Saverio, SIMANI, Silvio
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On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems’ Fundamental Lemma [PDF]
IEEE Conference on Decision and Control, 2021 Willems’ fundamental lemma asserts that all trajectories of a linear time-invariant system can be obtained from a finite number of measured ones, assuming that controllability and a persistency of excitation condition hold.
Yue Yu +5 more
semanticscholar +1 more source
Data-Driven Nonlinear Iterative Inversion Suspension Control
Actuators, 2023 The commercial operation of the maglev train has strict requirements for the reliability and safety of the suspension control system. However, due to a large number of unmodeled dynamics of the suspension system, it is difficult to obtain the precise ...
Tao Wen +3 more
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Data-Driven Control Algorithm for Snake Manipulator
Applied Sciences, 2021 In some environments where manual work cannot be carried out, snake manipulators are instead used to improve the level of automatic work and ensure personal safety. However, the structure of the snake manipulator is diverse, which renders it difficult to
Kai Hu +6 more
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Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]
, 2011 This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
Balderud, J. +3 more
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Data-Driven Control for Linear Discrete-Time Delay Systems [PDF]
IEEE Transactions on Automatic Control, 2020 The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design toward data-driven concepts.
Juan G. Rueda-Escobedo +2 more
semanticscholar +1 more source
Generalized Data–Driven Predictive Control: Merging Subspace and Hankel Predictors
Mathematics, 2023 Data–driven predictive control (DPC) is becoming an attractive alternative to model predictive control as it requires less system knowledge for implementation and reliable data is increasingly available in smart engineering systems.
M. Lazar, P. C. N. Verheijen
doaj +1 more source
Adaptive-smith predictor for controlling an automotive electronic throttle over network [PDF]
, 2018 The paper presents a control strategy for an automotive electronic throttle, a device used to regulate the power produced by spark-ignition engines.
Acho Zuppa, Leonardo +3 more
core +3 more sources