Abstract
This paper considers the quadratic stabilization for a class of uncertain linear systems. The system under consideration contains norm-bounded time-varying uncertainties. The quadratic stability problem for the system is reduced to finding a common positive definite solution of 2m Lyapunov equations, where m is the number of uncertain scalar parameters. A sufficient condition for the quadratic stabilizability of uncertain systems is derived in terms of a Riccati equation containing at most 2(m + 1) free parameters. The results are applied to the stabilizing control of a magnetic levitation system. The effectiveness of our method is illustrated both in simulations and experiments.
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© 1995 Springer-Verlag New York, Inc.
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Yamamoto, S., Kimura, H. (1995). Robust Stabilization for Parametric Uncertainty with Application to Magnetic Levitation. In: Francis, B.A., Khargonekar, P.P. (eds) Robust Control Theory. The IMA Volumes in Mathematics and its Applications, vol 66. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8451-9_7
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DOI: https://doi.org/10.1007/978-1-4613-8451-9_7
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