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20192022
most citedIdentifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control

8 citations · 13 across the 5 of their papers we have counts for

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eess.SY2022

Indirect Adaptive Control of Nonlinearly Parameterized Nonlinear Dissipative Systems

Romeo Ortega, Rafael Cisneros, Lei Wang +1

In this note we address the problem of indirect adaptive (regulation or tracking) control of nonlinear, input affine dissipative systems. It is assumed that the supply rate, the st…

eess.SY20213 cited

Observability is Sufficient for the Design of Globally Exponentially Convergent State Observers for State-affine Nonlinear Systems

Lei Wang, Romeo Ortega, Alexei Bobtsov

In this paper we are interested in the problem of state observation of state-affine nonlinear systems. Our main contribution is to propose a globally exponentially convergent obser…

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…

eess.SY2020

Robust Output Feedback Stabilization of MIMO Invertible Nonlinear Systems with Output-Dependent Multipliers (extended version)

Lei Wang, Christopher M. Kellett

This note studies the robust output feedback stabilization problem of multi-input multi-output invertible nonlinear systems with output-dependent multipliers. An "ideal" state feed…

eess.SY2019

Robust Output Feedback Stabilization of Multivariable Invertible Nonlinear Systems: A Feedback Linearization-Based Method

Lei Wang, Christopher M. Kellett

This note studies the robust output feedback stabilization problem of a class of multi-input multi-output invertible nonlinear systems, for which an "ideal" state feedback based on…