Gain scheduling using time-varying Kalman filter for a class of LPV systems
Current gain-scheduling approaches only assure stability when the underlying parameter varies sufficiently slowly, and hence stable closed-loop is not guaranteed for more general (i.e. faster) parameter variations. Shamma and Athans (1992) provides a solution to overcome this by computing Riccati Differential Equation (RDE) online for the current parameter value with the offline Algebraic Riccati Equation (ARE) solutions for every parameter value, which is computationally demanding. This paper...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of International Federation of Automatic Control World Congress (SYSID 2008)|
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