INTRODUCTION We compared the effectiveness of tenofovir/emtricitabine (TDF/FTC) combined with either lopinavir/r (LPV/r) or another recommended third drug in the 2010 French guidelines in antiretroviral-naïve patients starting combination antiretroviral therapy in 2004-2008 in the French Hospital Database on HIV. METHODS The outcomes were stop or switch of the third component, viral load (VL)...

This paper deals with the modeling, analysis, design and simulation of a robust control method for a permanent magnet synchronous machine (PMSM) supplied with a PWM inverter based on a LPV (Linear Parameter Variation)  standard controller. Under the influence of uncertainties and external disturbances, by a variation of ±150% of motor parameters from the nominal values, the robust performance c...

This paper addresses the mixed H−/H∞ fault detection observer design issue for a class of linear parameter varying (LPV) system. Based on the quadraticH∞ performance and affine quadratic H∞ performance concepts, as well as the corresponding quadratic H− index performance and affine quadratic H− index performance for measuring the worst-case fault sensitivity of the underlying LPV system, the ex...

Linear Parameter Varying (LPV) systems are models widely encountered in the engineering field. In this paper, a systematic method is provided to design a polytopic observer whose goal is to reconstruct the state of discrete-time LPV systems. The method incorporates in an original manner a minimal convex polytope finding and thereby confers efficiency to the reconstruction technique. The propose...

This paper considers the identiication of Linear Parameter-Varying (LPV) systems having linear-fractional parameter dependence. We present a natural prediction error method, using gradient-and Hessian-based nonlinear optimization algorithms to minimize the cost function. Computing the gradients and (approximate) Hessians is shown to reduce to simulating LPV systems and computing inner products....

Predictive control of nonlinear systems is addressed by embedding the dynamics into an LPV system and by computing robust invariant sets. This mitigates the on-line computational burden by transferring most of the computations off-line. Benefits and conservatism of this approach are discussed in relation with the control of a critical mechanical system. keywords: Predictive control, constraints...

A novel methodology is proposed for robust gain-scheduled PID controller design for uncertain LPV systems. The proposed design procedure is based on the parameter-dependent quadratic stability approach. A new uncertain LPV system model has been introduced in this paper. To access the performance quality the approach of a parameter varying guaranteed cost is used which allowed to reach for diffe...

In this paper, we show that an input–output map can be realized by a linear parameter-varying (LPV) state-space representation with affine and static dependence on the scheduling variables, if only satisfies certain LPV autoregressive equations. The latter class of equations is in derivatives (for continuous-time) or time-shifts discrete-time) outputs control inputs, while coefficients equation...

This paper addresses a semi-active suspension control of the full vehicle equipped with 4 controlled semi-active dampers by using a full 7 degree of freedom (DOF) vertical model. First, the dissipativity conditions of the semi-active dampers are recast as saturation conditions on the control inputs. Then, the suspension controller is derived by solving a state feedback control design problem fo...

Recently it was shown how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic programming. A relaxation technique is employed to reformulate constraints which are polynomial in the scheduling parameters to parameter-independent constraints. The algorithm allows the computation of explicit control laws for LPV systems a...