Search Results for author: Ravi Banavar

Found 9 papers, 0 papers with code

Constructing Dynamic Feedback Linearizable Discretizations

no code implementations3 Jun 2024 Ashutosh Jindal, Florentina Nicolau, David Martin Diego, Ravi Banavar

Dynamic feedback linearization-based methods allow us to design control algorithms for a fairly large class of nonlinear systems in continuous time.

Estimates on the domain of validity for Lyapunov-Schmidt reduction

no code implementations30 May 2024 Pranav Gupta, Anastasia Bizyaeva, Ravi Banavar

Lyapunov-Schmidt reduction is a dimensionality reduction technique in nonlinear systems analysis that is commonly utilised in the study of bifurcation problems in high-dimensional systems.

Dimensionality Reduction

Feedback Linearizable Discretizations of Second Order Mechanical Systems using Retraction Maps

no code implementations27 Mar 2024 Shreyas N. B., David Martin Diego, Ravi Banavar

Mechanical systems, in nature, are often described by a set of continuous-time, nonlinear, second-order differential equations (SODEs).

Exploiting Equivariance in the Design of Tracking Controllers for Euler-Poincare Systems on Matrix Lie Groups

no code implementations30 Jan 2024 Matthew Hampsey, Pieter van Goor, Ravi Banavar, Robert Mahony

In this paper, we propose a group structure on the cotangent bundle of a Lie group and leverage this to define momentum and configuration errors for trajectory tracking drawing on recent work on equivariant observer design.

Constructing Feedback Linearizable Discretizations for Continuous-Time Systems using Retraction Maps

no code implementations16 May 2023 Ashutosh Jindal, Ravi Banavar, David Martin Diego

Control laws for continuous-time dynamical systems are most often implemented via digital controllers using a sample-and-hold technique.

Equivariant Filters are Equivariant

no code implementations25 Oct 2022 Hiya Gada, Pieter van Goor, Ravi Banavar, Robert Mahony

Observers for systems with Lie group symmetries are an active area of research that is seeing significant impact in a number of practical domains, including aerospace, robotics, and mechatronics.

Implicit Function Theorem: Estimates on the size of the domain

no code implementations25 May 2022 Ashutosh Jindal, Debasish Chatterjee, Ravi Banavar

In this article, we present explicit estimates of the size of the domain on which the Implicit Function Theorem and the Inverse Function Theorem are valid.

Numerical Integration valid

Stabilizing a spherical pendulum on a quadrotor

no code implementations13 Jul 2020 Aradhana Nayak, Ravi Banavar, D. H. S Maithripala

In this article we design a backstepping control law based on geometric principles to swing up a spherical pendulum mounted on a moving quadrotor.

Position

Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats

no code implementations4 Jun 2019 Mishal Assif P K, Debasish Chatterjee, Ravi Banavar

Moreover, we perform a detailed study of both the asymptotic behaviour (consistency) and finite time behaviour of the scenario approach in the more general setting of nonconvex minmax optimization problems.

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