## Abstract The problem of feedback control of spatially distributed processes described by highly dissipative partial differential equations (PDEs) is considered. Typically, this problem is addressed through model reduction, where finite dimensional approximations to the original infinite dimensio
Adaptive control of feedback linearizable systems: a modelling error compensation approach
✍ Scribed by José Alvarez-Ramírez
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 168 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1049-8923
No coin nor oath required. For personal study only.
✦ Synopsis
An adaptive output feedback controller for single input feedback linearizable systems is proposed. The output derivatives are estimated with a state high-gain observer, and the matched uncertainties are handled using a modelling error compensation method. Compared with existing adaptive methods, this approach avoids overparameterizations yielding an (n#1)-order compensator, where n is the system dimension. Semiglobal stability is proven with the aid of existing results on the stability of controlled nonlinear systems with high-gain state observation.
📜 SIMILAR VOLUMES
## Abstract An adaptive compensation control scheme using output feedback is designed and analysed for a class of non‐linear systems with state‐dependent non‐linearities in the presence of unknown actuator failures. For a linearly parameterized model of actuator failures with unknown failure values
Recently, a design of model matching and adaptive control systems under the presence of measurement noise employing a nonminimal order state observer was reported. But this method cannot be used for the case where the plant has deterministic disturbances. In this paper, we will show that the idea is