8 citations · 21 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
Robust Implementable Regulator Design of General Linear Systems
Lei Wang, Lorenzo Marconi, Christopher M. Kellett
Robust implementable output regulator design approaches are studied for general linear continuous-time \mbox{systems} with periodically sampled measurements, consisting of both the…
Robust I&I Adaptive Tracking Control of Systems with Nonlinear Parameterization: An ISS Perspective
Lei Wang, Christopher M. Kellett
This paper studies the immersion and invariance (I&I) adaptive tracking problem for a class of nonlinear systems with nonlinear parameterization in the ISS framework. Under some mi…
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…