Robust Control and Linear Parameter Varying Approaches : by Olivier Sename (eds.)

By Olivier Sename (eds.)

Half I a few heritage on LPV structures (modeling, id regulate, observation).- half II LPV equipment utilized to highway vehicles.- half III a few situations of LPV tools for railway, aerospace and underwater purposes

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A design of gain-scheduled control for a linear parameter varying system: an application to flight control. Control Engineering Practice 9(1), 11–21 (2001) 31. : Identification of linear parameter-varying systems using nonlinear programming. ASME Journal of Dynamic Systems, Measurement and Control 121(1), 71–78 (1999) 32. : Survey of gain-scheduling analysis and design. International Journal of Control 73(11), 1001–1025 (2000) 33. , Rivera, D. ): Linear Parameter-Varying System Identification: New Developments and Trends.

Fig. 2 Non-parametric (solid), local (o) and interpolated (*) frequency responses from perturbations to Qin to perturbations to α , near the first operation point 1 LPV Modelling and Identification: An Overview 19 Fig. 3 Non-parametric (solid), local (o) and interpolated (*) frequency responses from perturbations to Qin to perturbations to p, near the first operation point Fig. 5 Comparison of Results For this specific application the comparison of analytical and experimental LPV models leads to the following results: as the state transformation method can be 20 M.

41). , the output tracking controller can be computed in finite steps. The right inverse is realizable in exactly the same way as the (left)inverse system. The input u corresponding to the desired output is not unique, in general. The difference between any two admissible input corresponds to a zero-state motion on RV ∗ = V ∗ ∩ S∗ which does not affect the output. A common solution is to set to zero the input components which, expressed in a suitable basis, correspond to forcing actions belonging to V ∗ ∩ B.

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