2003
DOI: 10.1049/ip-cta:20030709
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Parametric Lyapunov function approach to H2 analysis and control of linear parameter-dependent systems

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Cited by 44 publications
(34 citation statements)
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“…Assuming that the closed-loop system (7) is exponentially stable, one has that, for all possible trajectories of α(t), the associated H 2 norm defined as [35] …”
Section: Robust H 2 Controlmentioning
confidence: 99%
“…Assuming that the closed-loop system (7) is exponentially stable, one has that, for all possible trajectories of α(t), the associated H 2 norm defined as [35] …”
Section: Robust H 2 Controlmentioning
confidence: 99%
“…(1)-(2) (the reader can see [1][2][3][4][5][6] for different kind of problems). Such simplification may, however, yield unnecessarily conservative control systems or even result in unstable ones: at very least, parameter variation rates must also be included in the design, as in [7,8] or [9]. Some LPV control system designs modify linear matrix inequalities-based (LMIbased) methods to incorporate conditions such as maximum parameter variation rates, like [10] or [11].…”
Section: Introductionmentioning
confidence: 98%
“…This is different from [20] because it does not use weighting transfer functions; from [74] because the matrices obtained for different values of the uncertainty are not set to zero, but assume constant values; from [63] where the uncertainty is expressed as a hypersphere; from [278,[280][281][282] in that the proposed method copes with the general case of uncertain matrices while the works by Sato and coworkers consider only the case of uncertain scheduling parameters. It is also different from [188] in not assuming a stochastic description of the parameter uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…Since the bounds on the derivatives of the scheduling parameters are explicitly taken into account, the approach proposed in [105] provides a smooth transition between time invariant parameters and arbitrarily fast parameter variations. Further development of this approach can be found in [354], where H ∞ control synthesis was considered, in [74], where H 2 control synthesis was considered, and in [72], where an extended characterization of H 2 and H ∞ norms was provided, allowing to further decrease the conservatism when using parameter-dependent Lyapunov functions. Homogeneous polynomially parameter-dependent quadratic Lyapunov functions were proposed by [54], demonstrating their effectiveness with respect to linearly parameterdependent Lyapunov functions.…”
Section: Analysis Based On Other Lyapunov Functionsmentioning
confidence: 99%
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