Analysis and simulation of adaptive control strategies for uncertain bio-inspired sensor systems

We consider mechanical systems, that are not known precisely. In detail, we assume that the system parameters are unknown (uncertainty of system). Moreover, we allow for uncertaintieswith respect to perturbations from the environment (ground excitations). Such (non-linearly perturbed) systems need adaptive controllers which achieve a pre-defined control objective. Almost allknown controllers offer the same drawback: (possibly unboundedly) monotonically increasing gain parameters. For application it is necessary to design improved adaptation laws. We present numericalsimulations of several models primarily in application to a bio-inspired sensor model.

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