Liu, Wensheng An approximation algorithm for nonholonomic systems. (English) Zbl 0887.34063 SIAM J. Control Optimization 35, No. 4, 1328-1365 (1997). Summary: In [SIAM J. Control Optimization 37 (1997; to appear)], we have studied the limiting behavior of trajectories of control affine systems \(\Sigma : \dot{x}=\sum_{k=1}^m u_k f_k(x)\) generated by a sequence \(\{u^j\}\subseteq L^1([0,T],\mathbb{R}^m)\), where the \(f_k\) are smooth vector fields on a smooth manifold \(M\). We have shown that under very general conditions the trajectories of \(\Sigma\) generated by the \(u^j\) converge to trajectories of an {extended system} of \(\Sigma\) of the form \(\Sigma_{ext}\): \(\dot{x}=\sum_{k=1}^r v_kf_k(x)\), where \(f_k,k=1,\ldots,m\), are the same as in \(\Sigma\) and \(f_{m+1},\ldots,f_r\) are Lie brackets of \(f_1,\ldots,f_m\). In this paper, we will apply these convergence results to solve the inverse problem; i.e., given any trajectory \(\gamma\) of an extended system \(\Sigma_{ext}\), find trajectories of \(\Sigma\) that converge to \(\gamma\) uniformly. This is done by means of a universal construction that only involves the knowledge of the \(v_k, k=1,\ldots,r\), and the structure of the Lie brackets in \(\Sigma_{ext}\) but does not depend on the manifold \(M\) and the vector fields \(f_1,\ldots,f_m\). These results can be applied to approximately track an arbitrary smooth path in \(M\) for controllable systems \(\Sigma\), which in particular gives an alternative approach to the motion planning problem for nonholonomic systems. Cited in 22 Documents MSC: 34H05 Control problems involving ordinary differential equations 93C15 Control/observation systems governed by ordinary differential equations 93B27 Geometric methods 34E10 Perturbations, asymptotics of solutions to ordinary differential equations 93B05 Controllability 34A26 Geometric methods in ordinary differential equations Keywords:control affine systems; extended inputs; free associative algebras; free Lie algebras; Chen-Fliess series; nonholonomic motion planning × Cite Format Result Cite Review PDF Full Text: DOI