NDLI: Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control

Content Provider	IEEE Xplore Digital Library
Author	Tianyou Chai Yajun Zhang Hong Wang Chun-Yi Su Jing Sun
Copyright Year	1990
Abstract	For a complex industrial system, its multivariable and nonlinear nature generally make it very difficult, if not impossible, to obtain an accurate model, especially when the model structure is unknown. The control of this class of complex systems is difficult to handle by the traditional controller designs around their operating points. This paper, however, explores the concepts of controller-driven model and virtual unmodeled dynamics to propose a new design framework. The design consists of two controllers with distinct functions. First, using input and output data, a self-tuning controller is constructed based on a linear controller-driven model. Then the output signals of the controller-driven model are compared with the true outputs of the system to produce so-called virtual unmodeled dynamics. Based on the compensator of the virtual unmodeled dynamics, the second controller based on a nonlinear controller-driven model is proposed. Those two controllers are integrated by an adaptive switching control algorithm to take advantage of their complementary features: one offers stabilization function and another provides improved performance. The conditions on the stability and convergence of the closed-loop system are analyzed. Both simulation and experimental tests on a heavily coupled nonlinear twin-tank system are carried out to confirm the effectiveness of the proposed method.
Sponsorship	IEEE Computational Intelligence Society
Page Count	19
File Size	1141247
Starting Page	2154
Ending Page	2172
File Format	PDF
ISSN	10459227
Volume Number	22
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive control Nonlinear dynamical systems Convergence Algorithm design and analysis Stability analysis virtual unmodeled dynamics controller-driven model multivariable and nonlinear systems switching control
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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