Mathematical models for geometric control theory
Saber Jafarpour, Andrew D. Lewis

TL;DR
This paper introduces a geometric framework for control systems called tautological control systems that avoids explicit control parameterisation, providing a more intrinsic and regularity-aware approach to modeling in geometric control theory.
Contribution
It develops a novel, parameterisation-independent framework for control systems using topologies on vector fields, enabling better understanding of regularity and system equivalences.
Findings
Established topologies for vector fields across various regularity classes.
Proved regular dependence of flows on initial conditions for time-varying vector fields.
Demonstrated that control-affine systems are special cases within the new framework.
Abstract
Just as an explicit parameterisation of system dynamics by state, i.e., a choice of coordinates, can impede the identification of general structure, so it is too with an explicit parameterisation of system dynamics by control. However, such explicit and fixed parameterisation by control is commonplace in control theory, leading to definitions, methodologies, and results that depend in unexpected ways on control parameterisation. In this paper a framework is presented for modelling systems in geometric control theory in a manner that does not make any choice of parameterisation by control; the systems are called "tautological control systems." For the framework to be coherent, it relies in a fundamental way on topologies for spaces of vector fields. As such, classes of systems are considered possessing a variety of degrees of regularity: finitely differentiable; Lipschitz; smooth; real…
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Taxonomy
TopicsAdvanced Differential Equations and Dynamical Systems · Point processes and geometric inequalities · Mathematics and Applications
