Observer-Based Adaptive Fuzzy Backstepping Output Feedback Control of Uncertain MIMO Pure-Feedback Nonlinear Systems
Top Cited Papers
- 9 January 2012
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Fuzzy Systems
- Vol. 20 (4), 771-785
- https://doi.org/10.1109/tfuzz.2012.2183604
Abstract
This paper is concerned with the problem of adaptive fuzzy tracking control for a class of uncertain multiple-input-multiple-output (MIMO) pure-feedback nonlinear systems with immeasurable states. The dynamic output feedback strategy begins with a state observer. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions. The filtered signals are introduced to circumvent algebraic loop problem encountered in the implementation of the controller, and an adaptive fuzzy output feedback is obtained via a backstepping recursive design technique. It is shown that the proposed control law can guarantee that all the signals of the resulting closed-loop system are semiglobally uniformly ultimately bounded and that the observer and tracking errors converge to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness and potentials of the proposed techniques.Keywords
This publication has 47 references indexed in Scilit:
- Adaptive Fuzzy Control With Guaranteed Convergence of Optimal Approximation ErrorIEEE Transactions on Fuzzy Systems, 2011
- Adaptive Fuzzy Control for Synchronization of Nonlinear Teleoperators With Stochastic Time-Varying Communication DelaysIEEE Transactions on Fuzzy Systems, 2011
- A New Methodology for the Online Adaptation of Fuzzy Self-Structuring ControllersIEEE Transactions on Fuzzy Systems, 2011
- Multivariable Gaussian Evolving Fuzzy Modeling SystemIEEE Transactions on Fuzzy Systems, 2010
- Fuzzy-Adaptive Decentralized Output-Feedback Control for Large-Scale Nonlinear Systems With Dynamical UncertaintiesIEEE Transactions on Fuzzy Systems, 2010
- Robust $L_{\bf 2}$-Gain Compensative Control for Direct-Adaptive Fuzzy-Control-System DesignIEEE Transactions on Fuzzy Systems, 2010
- Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback formAutomatica, 2002
- Adaptive NN control of uncertain nonlinear pure-feedback systemsAutomatica, 2002
- Adaptive robust control of SISO nonlinear systems in a semi-strict feedback formAutomatica, 1997
- Adaptive nonlinear control without overparametrizationSystems & Control Letters, 1992