TNNLS-2013-P-2074(1).pdf (2.44 MB)
Adaptive neural control of MIMO nonlinear systems with a block-triangular pure-feedback control structure
journal contribution
posted on 2023-06-09, 09:24 authored by Zhenfeng Chen, Shuzhi Sam Ge, Yun Zhang, Yanan LiYanan LiThis paper presents adaptive neural tracking control for a class of uncertain multi-input-multi-output (MIMO) nonlinear systems in block-triangular form. All subsystems within these MIMO nonlinear systems are of completely nonaffine purefeedback form and allowed to have different orders. To deal with the nonaffine appearance of the control variables, the mean value theorem (MVT) is employed to transform the systems into a block-triangular strict-feedback form with control coefficients being couplings among various inputs and outputs. A systematic procedure is proposed for the design of a new singularityfree adaptive neural tracking control strategy. Such a design procedure can remove the couplings among subsystems and hence avoids the possible circular control construction problem. As a consequence, all the signals in the closed-loop system are guaranteed to be semiglobally uniformly ultimately bounded (SGUUB). Moreover, the outputs of the systems are ensured to converge to a small neighborhood of the desired trajectories. Simulation studies verify the theoretical findings revealed in this work.
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Neural Networks and Learning SystemsISSN
2162-237XPublisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
11Volume
25Page range
2017-2029Department affiliated with
- Engineering and Design Publications
Notes
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-12-15First Open Access (FOA) Date
2017-12-15First Compliant Deposit (FCD) Date
2017-12-14Usage metrics
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