Results 11 to 20 of about 3,837,082 (288)

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

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

A data‐driven chassis coordination control strategy

open access: yesIET Intelligent Transport Systems, 2021
Collaborative control strategy based on different driving conditions is a challenge for chassis systems with various electronic control units. This paper proposes a chassis cooperative control strategy based on vehicle inertial sensor data.
Entong Tian   +4 more
doaj   +1 more source

Complete Synthesis Analysis for Direct Data Driven Control

open access: yesIEEE Access, 2023
Due to vast data in information era,direct data driven control is more widely studied all over the world, i.e. designing the unknown controller directly from the measured input-output data,while avoiding the modeling process for the unknown plant.
Zeng Bohua, Wang JIanhong
doaj   +1 more source

Direct Data Driven Scheme for UAV Flight Control

open access: yesIEEE Access, 2022
Consider one special closed loop system structure with one unknown plant and two unknown controllers,i.e. feed forward controller and feedback controllers, our missions are to identify this plant and design these two controllers without any physical ...
Wang JIanhong   +2 more
doaj   +1 more source

Quantized Output Observer-based Data Driven Model-free Adaptive Control

open access: yesJournal of Applied Science and Engineering, 2023
This paper studies the quantized output data observer based data-driven model-free adaptive control(qMFAC) for discrete-time nonlinear systems with unknown structures and network transmission constraints.
Bing Ren, Guangqing Bao
doaj   +1 more source

Data-driven biped control [PDF]

open access: yesACM Transactions on Graphics, 2010
We present a dynamic controller to physically simulate under-actuated three-dimensional full-body biped locomotion. Our data-driven controller takes motion capture reference data to reproduce realistic human locomotion through realtime physically based simulation. The key idea is modulating the reference trajectory continuously and seamlessly such that
Yoonsang Lee, Sungeun Kim, Jehee Lee
openaire   +1 more source

Data-Driven Tests for Controllability [PDF]

open access: yesIEEE Control Systems Letters, 2021
The fundamental lemma due to Willems et al. “A note on persistency of excitation,” Syst. Control Lett., vol. 54, no. 4, pp. 325–329, 2005 plays an important role in system identification and data-driven control. One of the assumptions for the fundamental lemma is that the underlying linear time-invariant system is controllable.
Mishra, Vikas Kumar   +2 more
openaire   +3 more sources

Role of Nanotechnology in Precision Agriculture

open access: yesEnvironmental Sciences Proceedings, 2022
Nanotechnology is an interdisciplinary study field that attempts to boost agricultural output through substantial nanotechnology. This study has been conducted because of the reckless use of pesticides and synthetic fertilizers brought on by the green ...
Tayyaba Samreen   +5 more
doaj   +1 more source

On the linear quadratic data-driven control [PDF]

open access: yes, 2007
The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications.
Markovsky, Ivan, Rapisarda, Paolo
core   +1 more source

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