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— An intrinsic trajectory level approach without any recourse to an algebraic structure of a representation is utilized to develop a behavioural approach to robust stability. In particular it is shown how the controllable behaviour can be constructed at the trajectory level via Zorn's Lemma, and this is utilized to study the controllable-autonomous… (More)
We consider systems satisfying a matching condition which are functionally known up to weighted L 2 and L 1 measures of uncertainty. A modiied LQ measure of control and state transient performance is given, and the performance of a class of approximate model based adaptive controllers is studied. An upper performance bound is derived in terms of the… (More)
We consider the adaptive tracking problem for a chain of integrators, where the uncertainty is static and functional. The uncertainty is speciied by L 2 =L 1 or weighted L 2 =L 1 norm bounds. We analyse a standard Lyapunov based adaptive design which utilizes a function approximator to induce a parametric uncertainty, on which the adaptive design is… (More)
We consider the construction of adaptive controllers for minimum phase linear systems which achieve non-zero robustness margins in the sense of the gap metric. The gap perturbation margin may be more constrained for larger disturbances and for larger parametric uncertainties. Working in an L 2 setting, and within the framework of the nonlinear gap metric,… (More)
Graph topologies for nonlinear operators which admit coprime factorisations are defined w.r.t. a gain function notion of stability in a general normed signal space setting. Several metrics are also defined and their relationship to the graph topologies are examined. In particular, relationships between nonlinear generalisations of the gap and graph metrics,… (More)
— Based on the nonlinear gap metric robustness analysis, a study is undertaken for nonlinear systems with input-output linearizing controllers to derive and validate theoretical robustness and performance margins for these systems.