This paper presents a new algorithm for designing dynamic sliding-mode controllers. The proposed controller is based on dynamic sliding manifolds to circumvent the difficulties associated with the conventional sliding mode controllers in the face of non-minimum phase systems. Unlike previous works,
An Adaptive Neural Sliding Mode Controller for MIMO Systems
โ Scribed by Shiuh-Jer Huang; Kuo-Ching Chiou
- Publisher
- Springer Netherlands
- Year
- 2006
- Tongue
- English
- Weight
- 352 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0921-0296
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper, a discrete robust quasi-sliding mode adaptive controller is presented for the system with model uncertainties, unmodeled dynamics and bounded disturbances. The proposed method is adaptive control in conjunction with a sliding mode based controller design. The bounded motion of the sta
This paper deals with the design of adaptive fuzzy sliding-mode controllers for the T-S fuzzy model based on the Lyapunov function. It is shown that the Lyapunov function can be used to establish fuzzy sliding surfaces by solving a set of linear matrix inequalities (LMIs). The design of the fuzzy sl
This paper presents a novel linearized model of a power system installed HVAC parallel-connected with a HVDC system based voltage source converter (VSC HVDC) in order to determine the most effective input to apply supplementary controller and design of phase compensator. The power system linearized