A toolkit for nonlinear feedback design
Systems & Control Letters
Stabilization by output feedback for systems with ISS inverse dynamics
Systems & Control Letters
On characterizations of the input-to-state stability property
Systems & Control Letters
Robust adaptive control
Nonlinear control design: geometric, adaptive and robust
Nonlinear control design: geometric, adaptive and robust
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Adaptive Systems with Reduced Models
Adaptive Systems with Reduced Models
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
Automatica (Journal of IFAC)
Adaptive backstepping controller design using stochastic small-gain theorem
Automatica (Journal of IFAC)
Global output-feedback stabilization for a class of stochastic non-minimum-phase nonlinear systems
Automatica (Journal of IFAC)
Neural network-based robust adaptive control of nonlinear systems with unmodeled dynamics
Mathematics and Computers in Simulation
Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
Information Sciences: an International Journal
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Output regulation for a class of nonlinear systems using the observer based output feedback control
ACC'09 Proceedings of the 2009 conference on American Control Conference
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Adaptive output-feedback control for stochastic nonlinear systems with zero dynamics
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control
IEEE Transactions on Fuzzy Systems
Adaptive neural flight control system for helicopter
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
International Journal of Automation and Computing
International Journal of Automation and Computing
Automatica (Journal of IFAC)
Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
International Journal of Applied Mathematics and Computer Science
An on-line learning neural controller for helicopters performing highly nonlinear maneuvers
Applied Soft Computing
Neural network based robust adaptive control for a class of nonlinear systems
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Adaptive output feedback control of nonlinear systems using neural networks
Automatica (Journal of IFAC)
Switching adaptive output-feedback control of nonlinearly parametrized systems
Automatica (Journal of IFAC)
Adaptive output-feedback control of nonlinear systems with unknown nonlinearities
Automatica (Journal of IFAC)
Output-feedback stabilization of a class of uncertain non-minimum-phase nonlinear systems
Automatica (Journal of IFAC)
Backstepping Control in Vector Form for Stochastic Hamiltonian Systems
SIAM Journal on Control and Optimization
| Hi-index | 22.16 |
In this brief article, a novel combined backstepping and small-gain approach is presented to the global adaptive output feedback control of a class of uncertain nonlinear systems with unmodeled dynamics. The use of small-gain techniques permits removal of a common restriction, i.e. that the nonlinearities in the system are only dependent on the measured output. The design procedure is divided into two parts. In the first part, based on a partial-state observer, integrator backstepping is used to design an adaptive output-feedback controller which ensures robustness with respect to unknown parameters and uncertain nonlinearities. In the second part, it is shown that the adaptive controller can be made robust against dynamic uncertainties by means of recent nonlinear small-gain results.