Results 11 to 20 of about 1,079,127 (295)

Efficient implementation of Gaussian process–based predictive control by quadratic programming

open access: yesIET Control Theory & Applications, 2023
The paper addresses the problem of accelerating predictive control of non‐linear system models augmented with Gaussian processes (GP‐MPC). Due to the non‐linear and stochastic prediction model, predictive control of GP‐based models requires to solve a ...
Péter Polcz, Tamás Péni, Roland Tóth
doaj   +1 more source

Fault-Tolerant Tracking Control for Linear Parameter-Varying Systems under Actuator and Sensor Faults

open access: yesMathematics, 2023
In this study, we delve into the intricacies of addressing the challenge posed by simultaneous external disturbances and ever-changing actuator and sensor faults in the context of linear parameter-varying (LPV) systems.
Slim Dhahri, Omar Naifar
doaj   +1 more source

Analysis and design of linear parameter varying systems using LMIs

open access: yesRevista Iberoamericana de Automática e Informática Industrial RIAI, 2019
This paper presents a tutorial on analysis and design of linear parameter varying (LPV) systems using linear matrix inequalities (LMIs). Several specifications, such as D-stability, guaranteed H∞ performance and guaranteed quadratic cost, as well as ...
D. Rotondo   +3 more
doaj   +1 more source

Practical Model Predictive Control for a Class of Nonlinear Systems Using Linear Parameter-Varying Representations

open access: yesIEEE Access, 2021
In this paper, a practical model predictive control (MPC) for tracking desired reference trajectories is demonstrated for controlling a class of nonlinear systems subject to constraints, which comprises diverse mechanical applications.
Hossam S. Abbas   +4 more
doaj   +1 more source

H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]

open access: yes, 2007
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time ...
Anderson   +32 more
core   +1 more source

Blind System Identification in Linear Parameter-Varying Systems

open access: yes, 2023
Blind System Identification (BSI) is used to extract a system model whenever input data is not attainable. Therefore, the input data and system model should be estimated simultaneously. Because of nonlinearities in a large number of systems, BSI problem is usually challenging to solve.
Moghaddam, Javad Zahedi   +2 more
openaire   +2 more sources

Identification of time-varying systems using multiresolution wavelet models [PDF]

open access: yes, 2001
Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model identification algorithm is introduced. By expanding each time-varying coefficient using a multiresolution wavelet expansion, the time-varying problem is ...
Billings, S.A., Wei, H.L.
core   +2 more sources

Direct data-driven control of constrained linear parameter-varying systems: A hierarchical approach [PDF]

open access: yes, 2018
In many nonlinear control problems, the plant can be accurately described by a linear model whose operating point depends on some measurable variables, called scheduling signals.
Bemporad, Alberto   +2 more
core   +2 more sources

Robust linear parameter varying induction motor control with polytopic models [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2013
This paper deals with a robust controller for an induction motor which is represented as a linear parameter varying systems. To do so linear matrix inequality (LMI) based approach and robust Lyapunov feedback controller are associated.
Dalila Khamari   +3 more
doaj   +1 more source

Actuator Fault Detection for Unmanned Ground Vehicles Considering Friction Coefficients

open access: yesSensors, 2021
This paper proposes an actuator fault detection method for unmanned ground vehicle (UGV) dynamics with four mecanum wheels. The actuator fault detection method is based on unknown input observers for linear parameter varying systems.
Gyujin Na, Yongsoon Eun
doaj   +1 more source

Home - About - Disclaimer - Privacy