Stable Adaptive Control and Estimation for Nonlinear Systems

By J. T. Spooner, Manfredi Maggiore, R. Ordóñez, Kevin M. Passino. 2001

453 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/342787afe9b49bb353a940d04b8624e87462c7d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Zhong-Ping Jiang
2. Ding Wang
3. Derong Liu
4. Tingwen Huang
5. G. Duan
6. Laurent Praly
7. Biao Luo
8. Wei Lin

Citations in the corpus

• High-order fully actuated system approaches: Part IV. Adaptive control and high-order backstepping (2020, methodology): “Finally, of those so-called universal approximators, neural networks and fuzzy functions have been widely employed for approximation-based adaptive control of some classes of complex uncertain nonlinear dynamical systems (e.g. Brown & Harris, 1994; Farrell & Polycarpou, 2006; Ge et al., 2001; Lewis ”
• Model-Free Optimal Tracking Control via Critic-Only Q-Learning (2016, background): “It is known that NNs are universal approximators [76], [77] for approximating continuous function.”
• Linear output feedback with dynamic high gain for nonlinear systems (2004, background): “Output feedback stabilization or tracking for nonlinear systems with a (dominant) triangular structure like (1) has received a lot of attention during the last decade; see [6,7,15] and references therein.”