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Found 8 papers, 0 papers with code
Design and Performance Analysis of a Class of Generalized Predictive Controllers
The design and structure of generalized predictive control (GPC) are not simple and intuitive.
Predictive Control based on Equivalent Dynamic Linearization Model
Based on equivalent-dynamic-linearization model (EDLM), we propose a kind of model predictive control (MPC) for single-input and single-output (SISO) nonlinear or linear systems.
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging
Specifically, we unfold the iterative process of the alternative projection phase retrieval into a feed-forward neural network, whose layers mimic the processing flow.
Model-Free Adaptive Control Compensated with Disturbance
First of all, in order to accurately describe the nonlinear system model at each time, we compensate the equivalent dynamic linearization model (EDLM) with disturbance and prove it through the definition of differentiability and the Taylor series.
Discussion on a Class of Model-Free Adaptive Control for Multivariable Systems
The model-free adaptive control (MFAC) law is a promising method in applications.
Discussions on Inverse Kinematics based on Levenberg-Marquardt Method and Model-Free Adaptive (Predictive) Control
In this brief, the current robust numerical solution to the inverse kinematics based on Levenberg-Marquardt (LM) method is reanalyzed through control theory instead of numerical method.
Performance Analysis of Model-Free Adaptive Control
We analyzed model-free adaptive control (MFAC) law through closed-loop function to widen its application range.
Self-Tuning Control based on Modified Equivalent-Dynamic-Linearization Model
The current model-free adaptive control (MFAC) method is designed on the basis of the equivalent-dynamic-linearization model (EDLM) with neglect of the time delay and disturbance in practical.
