✦ LIBER ✦

Intelligent control of chaos using linear feedback controller and neural network identifier

✍ Scribed by M. Sadeghpour; M. Khodabakhsh; H. Salarieh

Book ID: 119219333
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 486 KB
Volume: 17
Category: Article
ISSN: 1007-5704
DOI: 10.1016/j.cnsns.2012.03.030

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Nonlinear Control VIA Generalized Feedba

Nonlinear Control VIA Generalized Feedback Linearization Using Neural Networks

✍ Graham C. Goodwin; Osvaldo Rojas; Hitoshi Takata 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 185 KB

Adaptive feedback linearization control

Adaptive feedback linearization control of antilock braking systems using neural networks

✍ Amir Poursamad 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 673 KB

Intelligent control using multiple model

Intelligent control using multiple models and neural networks

✍ Yue Fu; Tianyou Chai; Heng Yue 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 136 KB 👁 2 views

Feedback control of minimum-time optimal

Feedback control of minimum-time optimal control problems using neural networks

✍ C. J. Goh; N. J. Edwards; A. Y. Zomaya 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 925 KB

This paper presents an optimal feedback controller capable of driving a non-linear control system from an arbitrary initial state to a fixed final state in minimum time. The controller is based on a feedforward multilayer neural network trained repeatedly using open-loop optimal control data which d

Robust control of dynamical systems usin

Robust control of dynamical systems using neural networks with input–output feedback linearization

✍ Van Den Boom, Ton; Botto, Miguel Ayala; Da Costa, José Sá 📂 Article 📅 2003 🏛 Taylor and Francis Group 🌐 English ⚖ 164 KB

Intelligent optimal control of robotic m

Intelligent optimal control of robotic manipulators using neural networks

✍ Young H. Kim; Frank L. Lewis; Darren M. Dawson 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 408 KB

The paper is concerned with the application of quadratic optimization for motion control to feedback control of robotic systems using neural networks. Explicit solutions to the Hamilton}Jacobi}Bellman (H}J}B) equation for optimal control of robotic systems are found by solving an algebraic Riccati e