activity
20212024
collaborators

6 papers

eess.SY2024

Control contraction metrics on Lie groups

Dongjun Wu, Bowen Yi, Ian R. Manchester

In this paper, we extend the control contraction metrics (CCM) approach, which was originally proposed for the universal tracking control of nonlinear systems, to those that evolve…

math.OC2023

Structured linear quadratic control computations over 2D grids

Armaghan Zafar, Ian R. Manchester

In this paper, we present a structured solver based on the preconditioned conjugate gradient method (PCGM) for solving the linear quadratic (LQ) optimal control problem for $K \tim…

eess.SY2023

Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks

Vera L. J. Somers, Ian R. Manchester

Spreading processes, e.g. epidemics, wildfires and rumors, are often modeled on static networks. However, their underlying network structures, e.g. changing contacts in social netw…

eess.SY2022

Attitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design

Bowen Yi, Lei Wang, Ian R. Manchester

The paper addresses the problem of attitude estimation for rigid bodies using (possibly time-varying) vector measurements, for which we provide a necessary and sufficient condition…

eess.SY2021

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees

Ruigang Wang, Ian R. Manchester

This paper presents a parameterization of nonlinear controllers for uncertain systems building on a recently developed neural network architecture, called the recurrent equilibrium…

eess.SY2021

Globally convergent visual-feature range estimation with biased inertial measurements

Bowen Yi, Chi Jin, Ian R. Manchester

The design of a globally convergent position observer for feature points from visual information is a challenging problem, especially for the case with only inertial measurements a…