Full Form Dynamic Linearization Based Data-driven MFAC for a Class of Discrete-time Nonlinear Systems Hou, "Data-driven MFAC for a class of discrete-time nonlinear systems with RBFNN," IEEE Trans. Neural Netw. Learn. Syst., vol. 25, no. 5, pp... Y Li,Z Hou,X Liu - 《Chinese Contr...
Lin and Tu [6] reported that the mean squared error (MSE) approach is not necessarily restricted in a full second-order model. It can handle more realistic models and much more complicated models than polynomial models. Shaibu and Cho [5] stated that better RPD solutions can be found by ...
This approach makes full use of single-trial record and tries to maximally approximate the underlying EP in a single trial. The experiment result shows that improved EP signal can be retrieved although the number of trials is reduced to 3.Changfang Zhu...
Full Form Dynamic Linearization Based Data-driven MFAC for a Class of Discrete-time Nonlinear Systems In this paper,we propose a data-driven Model Free Adaptive Control (MFAC) scheme based on Full Form Dynamic Linearization (FFDL) for nonlinear systems.Firs... Y Li,Z Hou,X Liu - 《Chinese...