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In this paper, we introduce a generalized framework for global output feedback stabilization of a class of uncertain, genuinely nonlinear systems of a particularly complex nature since their linearization is not guaranteed to be either controllable or observable. Based on a subtle homogeneous observer/controller construction and homogeneous domination(More)
The current literature on the stabilization of nonlinear systems, particularly those whose linearization about the origin may contain uncontrollable modes, essentially contains two distinct methods: a smooth controller scheme (only under strict assumptions) and a non-smooth one. This paper introduces a more general setting under which: 1) unification of the(More)
In this paper, we consider the output feedback stabilization problem of a class of nonlinear feedforward (upper triangular) systems, of which the stabilization using an arbitrarily bounded controller has not been addressed previously. This stabilization is accomplished here via nested saturation linear control and dynamic compensator. The novelty in such an(More)
This paper considers the problem of global decentralized output feedback control of large-scale systems with subsystems interconnected by nonlinearities which are functions of the measurable and unmeasurable states. The distinguishing factor of this paper is that the nonlinearities are allowed to be of higher-order in these unmeasurable states, and one(More)
This paper considers a general setting for the stabilization of a planar nonlinear system given only the measurement of the output state. Additionally, we assume that a certain amount of uncertainties is inherent in the system under consideration, where we only need to know the bounding function of the nonlinear terms. Under this setting we consider a class(More)
This paper considers a formulation for the global output feedback stabilization of a planar nonlinear system whose nonlinear functions are polynomially bounded in the unmeasurable states. The primary novelty of this method is the utilization of a dual observer approach, estimating linear and higher-order states in parallel.
A distributed computing optimization architecture was developed by SwRI for use with numerical solvers. This optimization toolbox is very generalized and can be easily adapted to use with any numerical solver having a well-described input and output file system. In combination with the use of MATLAB, this makes it a very flexible and powerful analysis and(More)
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