Results 11 to 20 of about 163,783 (268)
A New Fuzzy Robust Control for Linear Parameter-Varying Systems
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
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Blind System Identification in Linear Parameter-Varying Systems
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.
Javad Zahedi Moghaddam +2 more
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Data-Driven Fault-Tolerant Tracking Control for Linear Parameter-Varying Systems
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
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Consensus Control of Linear Parameter-Varying Multi-Agent Systems with Unknown Inputs
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
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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
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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
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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
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Transformations for linear parameter varying systems
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.
Szabó, Z., Bokor, J.
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Efficient implementation of Gaussian process–based predictive control by quadratic programming
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
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Model Predictive Control Based on Linear Parameter-Varying Models of Active Magnetic Bearing Systems
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
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