NDLI: Asymptotic tracking and dynamic regulation of SISO non-linear system based on discrete multi-dimensional Taylor network

Content Provider	IET Digital Library
Author	Yan, Hong Sen Kang, An Ming
Abstract	For non-linear control, it is important to secure a generally structured controller that promises wide application and desirable performance. This study deals with the problem of asymptotic tracking and dynamic regulation of single-input single output (SISO) non-linear systems via output feedbacks by the discrete multi-dimensional Taylor network (MTN) controller, a novel controller with fixed structure and sampled-data control mechanism. For verification of its validity, differential geometry and polynomial approximation are adopted. Using the emulation technique and regional pole assignment, the asymptotic tracking and dynamic regulation without online optimisation of the system by discrete MTN controller is tested. With the dynamic change of error signals, the dynamic regulation by given index is realised. As a convex optimisation problem, the controller parameters can be acquired by parametric learning. Based on the delta operator model, the procedure of the controller design is given in detail. Simulation results confirm the feasibility and effectiveness of the proposed approach.
Starting Page	1619
Ending Page	1626
Page Count	8
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 10, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0100
Journal	IET Control Theory & Applications
Publisher Date	2017-03-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Asymptotic Tracking Control System Analysis Control System Synthesis Controller Design Convex Optimisation Problem Convex Programming Delta Operator Model Differential Geometry Discrete Control System Discrete Multidimensional Taylor Network Distributed Parameter Control System Dynamic Regulation Emulation Technique Error Signal Feedback Fixed Structure MTN Controller Multidimensional System Nonlinear Control Nonlinear Control System Optimisation Technique Output Feedbacks Parametric Learning Pole Assignment Polynomial Approximation Regional Pole Assignment Sampled Data System Sampled-data Control Mechanism SISO Nonlinear System Synthesis Method
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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