In order to accommodate actuator failures which are uncertain in time, pattern and value, we propose two adaptive backstepping control schemes for parametric strict feedback systems. Firstly a basic design scheme on the basis of existing approaches is considered. It is analyzed that, when actuator f
A direct method for robust adaptive nonlinear control with guaranteed transient performance
โ Scribed by S.S. Ge; C.C. Hang; T. Zhang
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 272 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0167-6911
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โฆ Synopsis
In this paper, the adaptive control problem is studied for a class of nonlinear systems in the presence of bounded disturbances. By utilizing a nice property of the studied systems, a novel Lyapunov-based control structure is developed, which avoids the possible control singularity problem in adaptive nonlinear control. The transient bounds of output tracking error are shown to be explicit functions of initial conditions and design parameters, and the control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. Simulation study is provided to verify the theoretical results.
๐ SIMILAR VOLUMES
In this paper, a direct adaptive controller is developed based on multilayer neural networks (MNNs) for a class of nonlinear systems. The proposed scheme avoids the possible singularity problem of the controller usually met in adaptive control design. The system tracking error is proven to converge