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It is shown that the linearized model of the plant can be described by a linear parameter varying (LPV) discrete-time system depending on nine uncertain parameters; eight of such parameters exhibit small excursions and no bound on their rate of variation is available, while the last parameter turns out to be slowly-varying and a bound on the rate of its variation is known.
The stability of the closed-loop polytopic system is guaranteed by a linear parameter dependent Lyapunov matrix.
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The method proposed in this paper estimates the roughness of the road surface by using a linear parameter varying model of a suspension system.
This paper deals with actuator fault estimation for a class of discrete-time nonlinear systems whose linear part is described by a Linear Parameter-Varying (LPV) form and nonlinear term is Lipschitz.
In this paper, adaptive threshold generation for robust fault detection of nonlinear system described by means of a Linear Parameter Varying (LPV) model is analyzed.
Nonlinear dynamic equations of the morphing aircraft are linearized by using Jacobian linearization approach, and a linear parameter varying (LPV) model of the morphing aircraft in wing folding is obtained.
We approach the problem of identifying a nonlinear plant by parameterizing its dynamics as a linear parameter varying (LPV) model.
The stability of the non-linear error dynamic is analysed by transforming the error dynamic into a Linear Parameter Varying (LPV) system.
In this paper, a fault diagnosis method is developed for a particular class of nonlinear systems described by a polytopic linear parameter varying (LPV) formulation.
System nonlinearity is handled by a suitable linear parameter varying system representation with drum pressure as the system varying parameter.
—This paper presents Fault-Tolerant Control (FTC) architecture for vehicle dynamics represented by an LPV (Linear Parameter Varying) model with actuator failures.
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