Steering nonholonomic integrator using orthogonal polynomials
Pragada Shivaramkrishna, Sanand Dilip

TL;DR
This paper develops analytical solutions for steering nonholonomic systems using orthogonal polynomials, enabling efficient control with minimum energy and sub-optimal inputs, expanding beyond traditional trigonometric approaches.
Contribution
It introduces a novel method employing various orthogonal polynomial families for optimal control of nonholonomic integrators and Lie group systems, including sub-optimal control strategies.
Findings
Analytical solutions for nonholonomic steering using orthogonal polynomials.
Extension of control methods to Lie group $ ext{SO}(3)$ systems.
Sub-optimal control inputs derived from orthogonal functions for $ ext{L}_1$ cost.
Abstract
We consider minimum energy optimal control problem with time dependent Lagrangian on the nonholonomic integrator and and find the analytical solution using Sturm-Liouville theory. Furthermore, we also consider the minimum energy problem on the Lie group with time dependent Lagrangian. We show that the steering of nonholonomic integrator and generalized nonholonomic integrator can be achieved by using various families of orthogonal polynomials such as Chebyshev, Legendre and Jacobi polynomials apart from trigonometric polynomials considered in the literature. Finally, we show how to find sub-optimal inputs using elements from a family of orthogonal functions when the cost function is given by the norm of the input.
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Taxonomy
TopicsControl and Dynamics of Mobile Robots · Dynamics and Control of Mechanical Systems · Vehicle Dynamics and Control Systems
