most citedIdentifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control

8 citations · 10 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Learning Stable Koopman Embeddings

Fletcher Fan, Bowen Yi, David Rye +2

In this paper, we present a new data-driven method for learning stable models of nonlinear systems. Our model lifts the original state space to a higher-dimensional linear manifold…

eess.SY20212 cited

Composite Adaptive Control for Anti-Unwinding Attitude Maneuvers: An Exponential Stability Result Without Persistent Excitation

Xiaodong Shao, Qinglei Hu, Daochun Li +2

This paper provides an exponential stability result for the adaptive anti-unwinding attitude tracking control problem of a rigid body with uncertain but constant inertia parameters…

eess.SY20218 cited

Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control

Lei Wang, Romeo Ortega, Alexey Bobtsov +2

In this paper we propose a new parameter estimator that ensures global exponential convergence of linear regression models requiring only the necessary assumption of identifiabilit…

math.OC2020

Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization

Bowen Yi, Ruigang Wang, Ian R. Manchester

In this paper, we propose a new approach to design globally convergent reduced-order observers for nonlinear control systems via contraction analysis and convex optimization. Despi…

eess.SY2020

On necessary conditions of tracking control for nonlinear systems via contraction analysis

Bowen Yi, Ruigang Wang, Ian R. Manchester

In this paper we address the problem of tracking control of nonlinear systems via contraction analysis. The necessary conditions of the systems which can achieve universal asymptot…

eess.SY2020

Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization

Bowen Yi, Romeo Ortega, Ian R. Manchester +1

This paper aims to provide a new problem formulation of path following for mechanical systems without time parameterization nor guidance laws, namely, we express the control object…