$\mathrm{H}_{\infty}$ Tracking Control Design for Nonlinear Uncertain Systems
- Resource Type
- Conference
- Authors
- Kashyap, Parul; Prasad, L. B.
- Source
- 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Computing, Communication and Networking Technologies (ICCCNT), 2019 10th International Conference on. :1-9 Jul, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Robotics and Control Systems
Signal Processing and Analysis
Transportation
H infinity control
Artificial neural networks
Uncertainty
Aircraft
Adaptive control
Stability analysis
Heuristic algorithms
BPNN
RBFNN
H-infinity controller
- Language
The proposed work presents associate H-infinity adaptive control design exploitation back propagation neural networks associated radial basis operate for systems whose uncertainty has an indefinite structure. This design merges ideas from robust control theory like H-infinity control style, the Small Gain Theorem, associated L stability theory with Lyapunov stability theory and up to date theoretical achievements in adaptive control to develop an adaptation design for systems whose uncertainty satisfies a neighborhood carver certain. The technique permits an impression designer to shorten the adaptation standardization method, band limit the adaptation management signal, and treats unmatched uncertainty during a single style framework. During this paper the performance of H-infinity controller is compared by exploitation back propagation neural network and radial basis operate neural network. The achieved result shows that the controller with BPNN provided higher result as compared to controller with radial basis operates. These two comparisons are accomplished.