Parameter Convergence in systems with Convex/Concave Parameterization
نویسندگان
چکیده
2 Statement of the Problem A large class of problems in parameter estimation concerns systems where parameters occur nonlinearly. In [1]-[5], a stability framework for identification and control of such systems has been established. We address the issue of parameter convergence in such systems in this paper. Sufficient conditions under which parameter estimates converge to their true values are derived and shown to be stronger than the standard persistent excitation requirements in linearly parameterized systems.
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تاریخ انتشار 2000