Neural network solution for finite-horizonH∞state feedback control of nonlinear systems
From MaRDI portal
Publication:5402727
DOI10.1080/00207720701709044zbMath1283.93108OpenAlexW1864307014MaRDI QIDQ5402727
Frank L. Lewis, Murad Abu-Khalaf, Tao Cheng
Publication date: 17 March 2014
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207720701709044
Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) (H^infty)-control (93B36)
Related Items (2)
An analytical fuzzy-based approach to -gain optimal control of input-affine nonlinear systems using Newton-type algorithm ⋮ Projective synchronisation of a new chaotic system via small-gain theorem
Cites Work
- Unnamed Item
- A neural network solution for fixed-final time optimal control of nonlinear systems
- Approximate solutions to the time-invariant Hamilton-Jacobi-Bellman equation
- Solving Hamilton-Jacobi-Bellman equations by a modified method of characteristics
- On the Bellman equation for infinite horizon problems with unbounded cost functional
- Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
- Robust adaptive NN feedback linearization control of nonlinear systems
- L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
- Disturbance attenuation and H/sub infinity /-control via measurement feedback in nonlinear systems
- Modal Control of Certain Flexible Dynamic Systems
- Kronecker products and matrix calculus in system theory
- Adaptively controlling nonlinear continuous-time systems using multilayer neural networks
- Notes on uniform approximation of time-varying systems on finite time intervals
- Numerical approach to computing nonlinear H-infinity control laws
- Stable adaptive neural control scheme for nonlinear systems
- Successive Galerkin approximation algorithms for nonlinear optimal and robust control
- Adaptive control of unknown plants using dynamical neural networks
This page was built for publication: Neural network solution for finite-horizonH∞state feedback control of nonlinear systems
