Results 11 to 20 of about 7,831,201 (331)

Data Driven Economic Model Predictive Control [PDF]

open access: yesMathematics, 2018
This manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium ...
Masoud Kheradmandi, Prashant Mhaskar
doaj   +3 more sources

Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design

open access: yesMathematics, 2021
In this paper, we address the data-driven modeling of a nonlinear dynamical system while incorporating a priori information. The nonlinear system is described using the Koopman operator, which is a linear operator defined on a lifted infinite-dimensional
Keita Hara, Masaki Inoue
doaj   +1 more source

Data‐driven safe gain‐scheduling control

open access: yesAsian Journal of Control, 2023
AbstractData‐based safe gain‐scheduling controllers are presented for discrete‐time linear parameter‐varying systems (LPV) with polytopic models. First, ‐contractivity conditions are provided under which the safety and stability of the LPV systems are unified through Minkowski functions of the safe sets. Then, a data‐based representation of the closed‐
Amir Modares   +2 more
openaire   +2 more sources

The valve opening control of the motor-operated valve using virtual internal model tuning and vata-driven prediction

open access: yesNihon Kikai Gakkai ronbunshu, 2023
This paper deals with applications of data-driven control, which is a controller tuning method that directly utilizes the data, for mechanical systems.
Taichi IKEZAKI   +6 more
doaj   +1 more source

On the Design of Persistently Exciting Inputs for Data-Driven Control of Linear and Nonlinear Systems [PDF]

open access: yesIEEE Control Systems Letters, 2023
In the context of data-driven control, persistence of excitation (PE) of an input sequence is defined in terms of a rank condition on the Hankel matrix of the input data.
Mohammad Alsalti, V. Lopez, M. Müller
semanticscholar   +1 more source

On Online Adaptive Direct Data Driven Control

open access: yesIEEE Access, 2022
Based on our recent contributions on direct data driven control scheme, this paper continues to do some new research on direct data driven control, paving another way for latter future work on advanced control theory.
Wang Jianhong   +1 more
doaj   +1 more source

Extended Disturbance-Observer-Based Data-Driven Control of Networked Nonlinear Systems With Event-Triggered Output

open access: yesIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
This article is dedicated to data-driven control of networked nonlinear systems with event-triggered output. An improved extended state observer is constructed to estimate unknown disturbances. An output estimator is built on the triggered output and the
M. Shen   +4 more
semanticscholar   +1 more source

A Behavioral Approach to Data-Driven Control With Noisy Input–Output Data [PDF]

open access: yesIEEE Transactions on Automatic Control, 2022
This article deals with data-driven stability analysis and feedback stabilization of linear input–output systems in autoregressive (AR) form. We assume that noisy input–output data on a finite time-interval have been obtained from some unknown AR system.
Henk J. van Waarde   +3 more
semanticscholar   +1 more source

Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach.

open access: yesMathematical biosciences and engineering : MBE, 2023
Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex nonlinear system, and that the system parameters cannot be accurately ...
V. Djordjević   +5 more
semanticscholar   +1 more source

Data Driven Linear Quadratic Gaussian Control Design

open access: yesIEEE Access, 2023
The implementation of the Linear Quadratic Gaussian (LQG) scheme is often considered problematic as it requires a dynamic model of the system as a whole.
Adi Novitarini Putri   +3 more
doaj   +1 more source

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