Results 1 to 10 of about 1,078,986 (178)

Transformations for linear parameter varying systems [PDF]

open access: yesIFAC-PapersOnLine, 2018
Abstract The LPV modelling paradigm grew up from the desire of having a gain scheduling method with guaranteed stability and performance bound by using as much as possible from the LTI design techniques. In the last decades the framework has proven its applicability in the field of robust control design.
Bokor, József, Szabó, Zoltán
core   +3 more sources

Annihilator design for linear parameter varying systems [PDF]

open access: yesIFAC-PapersOnLine, 2018
Abstract Computation of the annihilator of a linear parameter-dependent (LPV) dynamical system is an important subtask in several fields of control theory, such as fault detection design or reconfigurable control design. While for LTI systems the problem can be efficiently handled, for LPV systems is not available a single algorithm that would ...
Bokor, József   +2 more
core   +4 more sources

A New Fuzzy Robust Control for Linear Parameter-Varying Systems

open access: yesMathematics, 2022
The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV systems. This method includes the gain-scheduled state-feedback technique and
Fenghua Chen   +4 more
doaj   +1 more source

Data-Driven Fault-Tolerant Tracking Control for Linear Parameter-Varying Systems

open access: yesIEEE Access, 2022
This article proposes a data-driven passive fault-tolerant tracking controller for single-input single-output (SISO) discrete-time linear systems with slowly-varying unknown parameters in the presence of actuator faults.
Zahra Karimi   +3 more
doaj   +1 more source

Consensus Control of Linear Parameter-Varying Multi-Agent Systems with Unknown Inputs

open access: yesSensors, 2023
This paper investigates the observer-based consensus control problem for linear parameter-varying (LPV) multi-agent systems (MASs) with unknown inputs.
Fanglai Zhu, Chengmin Tan
doaj   +1 more source

Direct data-driven control of linear parameter-varying systems [PDF]

open access: yes, 2013
In many control applications, nonlinear plants can be modeled as linear parameter-varying (LPV) systems, by which the dynamic behavior is assumed to be linear, but also dependent on some measurable signals, e.g., operating conditions.
Formentin, Simone   +3 more
core   +8 more sources

On the State-Feedback Controller Design for Polynomial Linear Parameter-Varying Systems with Pole Placement within Linear Matrix Inequality Regions

open access: yesMathematics, 2023
The present paper addresses linear parameter-varying systems with high-order time-varying parameter dependency known as polynomial LPV systems and their controller design.
Jorge A. Brizuela-Mendoza   +11 more
doaj   +1 more source

Switching Linear Parameter-Varying Controller Design With H∞ Performance Based on Youla Parameterization

open access: yesIEEE Access, 2020
This article utilizes the Youla parameterization method to design a switching linear parameter-varying (LPV) output-feedback controller. The switching controller consists of several LPV controllers designed in advance and independently with corresponding
Weilin Wu, Wei Xie, Liejun Li
doaj   +1 more source

Model Predictive Control Based on Linear Parameter-Varying Models of Active Magnetic Bearing Systems

open access: yesIEEE Access, 2021
Active magnetic bearing (AMB) system has been recently employed widely as an ideal equipment for high-speed rotating machines. The inherent challenges to control the system include instability, nonlinearity and constricted range of operation.
Abdelrahman Morsi   +3 more
doaj   +1 more source

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

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