Sampled‐parameter dependent stabilization for linear parameter varying systems with asynchronous parameter sampling
Copyright policy )Sampled‐parameter dependent stabilization for linear parameter varying systems with asynchronous parameter sampling
AbstractIn this paper, we propose a new sampled‐data stabilization method for linear parameter‐varying (LPV) systems with asynchronous parameter sampling. A sampled‐parameter‐dependent controller is designed by considering the sampling of parameters as well as that of states. Based on a newly proposed sampled‐parameter‐dependent looped‐functional (SPDLF), a relaxed linear matrix inequality (LMI) condition in the parameterized stabilization criteria is derived by considering the deviation bound between the continuous‐time parameter of the plant and the sampled parameter. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.
- Kyungpook National University Korea (Republic of)
Sampled-data control/observation systems, parameterized LMI technique, sampled-data control, Linear systems in control theory, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, looped-functional, LPV systems
Sampled-data control/observation systems, parameterized LMI technique, sampled-data control, Linear systems in control theory, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, looped-functional, LPV systems
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