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20172020
most citedAdaptive Feedforward Neural Network Control with an Optimized Hidden Node Distribution

32 citations · 39 across the 5 of their papers we have counts for

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5 papers

eess.SY2020★ 32 cited

Adaptive Feedforward Neural Network Control with an Optimized Hidden Node Distribution

Qiong Liu, Dongyu Li, Shuzhi Sam Ge +1

Composite adaptive radial basis function neural network (RBFNN) control with a lattice distribution of hidden nodes has three inherent demerits: 1) the approximation domain of adap…

eess.SY2020★ 2 cited

A Globally Stable Practically Implementable PI Passivity-based Controller for Switched Power Converters

Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev +1

In this paper we propose a PI passivity-based controller, applicable to a large class of switched power converters, that ensures global state regulation to a desired equilibrium po…

eess.SY2019★ 2 cited

Voltage regulation in buck--boost coniverters feeding an unknown constant power load: an adaptive passivity-based control

Carlos A. Soriano--Rangel, Wei He, Fernando Mancilla--David +1

Rapid developments in power distribution systems and renewable energy have widened the applications of dc--dc buck--boost converters in dc voltage regulation. Applications include…

eess.SY2018★ 2 cited

Active Damping of a DC Network with a Constant Power Load: An Adaptive Passivity-based Control Approach

Juan E. Machado, José Arocas-Pérez, Wei He +2

This paper proposes a nonlinear, adaptive controller to increase the stability margin of a direct-current (DC) small-scale electrical network containing a constant power load, whos…

math.OC2017★ 1 cited

An Adaptive Passivity-Based Controller of a Buck-Boost Converter With a Constant Power Load

Wei He, Romeo Ortega, Juan E. Machado +1

This paper addresses the problem of regulating the output voltage of a DC-DC buck-boost converter feeding a constant power load,which is a problem of current practical interest. De…