Please use this identifier to cite or link to this item:
Title: Output feedback control of a class of discrete MIMO nonlinear systems with triangular form inputs
Authors: Zhang, J.
Ge, S.S. 
Lee, T.H. 
Keywords: Discrete-time system
High-order neural networks (HONNs)
Multi-input-multi-output (MIMO) system
Neural networks (NNs)
Issue Date: Nov-2005
Citation: Zhang, J., Ge, S.S., Lee, T.H. (2005-11). Output feedback control of a class of discrete MIMO nonlinear systems with triangular form inputs. IEEE Transactions on Neural Networks 16 (6) : 1491-1503. ScholarBank@NUS Repository.
Abstract: In this paper, adaptive neural network (NN) control is investigated for a class of discrete-time multi-input-multi-output (MIMO) nonlinear systems with triangular form inputs. Each subsystem of the MIMO system is in strict feedback form. First, through two phases of coordinate transformation, the MIMO system is transformed into input-output representation with the triangular form input structure unchanged. By using high-order neural networks (HONNs) as the emulators of the desired controls, effective output feedback adaptive control is developed using backstepping. The closed-loop system is proved to be semiglobally uniformly ultimate bounded (SGUUB) by using Lyapunov method. The output tracking errors are guaranteed to converge into a compact set whose size is adjustable, and all the other signals in the closed-loop system are proved to be bounded. Simulation, results show the effectiveness of the proposed control scheme. © 2005 IEEE.
Source Title: IEEE Transactions on Neural Networks
ISSN: 10459227
DOI: 10.1109/TNN.2005.852242
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jan 19, 2023


checked on Jan 19, 2023

Page view(s)

checked on Jan 26, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.